FTH Advanced Connectivity Showcase

Where Research Meets Industry: Accelerating the UK’s Future Networks 

Busy exhibition floor at the Federated Telecoms Hubs Advanced Connectivity Showcase Science Museum London
Busy exhibition floor at the Federated Telecoms Hubs Advanced Connectivity Showcase Science Museum London

On 1st of December, together with our partners at the Federated Telecoms Hubs (FTH), we brought the future of UK connectivity to the Science Museum, London. The Hubs came together to showcase. our cutting-edge scientific discoveries and high-TRL projects in a truly commercial setting. The FTH Advanced Connectivity Showcase was buzzing – a room full of conversations, new partnership opportunities and fresh ideas. The showcase brought together academic excellence, industry leaders, investors and government representatives with the aim of closing the gap between the lab and the real world… and it certainly didn’t disappoint. 

As the global race for 6G and beyond intensifies our competitiveness will depend on converting research into real-world capability. And that demands collaboration. Events like this bring all the right stakeholders together from across the telecoms ecosystem and create the right conditions for meaningful connections and interaction. It was a packed itinerary – here are some of the highlights… 

Maisie England, Head if Future Communications Research EPSRC

Maisie England Head of Future Communications Research at EPSRC Delivers Remarks FTH Showcase
Maisie England Head of Future Communications Research at EPSRC Delivers her opening remarks at the FTH Advanced Connectivity Showcase

Maisie England from EPSRC joined us in the morning to highlight the vital role of international standards and collaboration, framing her talk around EPSRC’s mission “to advance knowledge, improve lives and drive growth.” She emphasised the need to protect curiosity-driven research while supporting our national priorities, boosting innovation & growth and securing the UK’s competitive advantageAs the funder of the Hubs, Maisie also outlined how EPSRC is working with us to fast-track innovation. This is vital in continuing to build on the UK’s strong research base and deliver commercial outcomes, open new markets, and gain deeper insight into industry needs  all vital for tomorrow’s technologies. 

Keynote Speaker:  Simon Clement, Director, Liberty Global  

Keynote Speaker, Simon Clement, Director Liberty Global
Keynote speaker, Simon Clement, Director Liberty Global, delivers his talk to the audience

Liberty Global is a major telecommunications and investment group that runs broadband, mobile, and TV businesses, supplying internet, video and phone services across the UK and Europe. Simon’s talk highlighted the UK’s strength as a bridge between research and enterprise, while noting that our spin-out rate still has room to grow. He spoke candidly about the realities of commercialising research and outlined his “7 Ts” for becoming an investable prospect:  

  1. Transformation – what problems are set to be solved  
  2. Technology – Being able to translate a highly technical idea into real life impact  
  3. Timing – Solve tomorrow’s problem, not todays  
  4. TAM – know your total available market and understanding the numbers 
  5. Traction – building customer pipeline 
  6. Team – importance of a strong founder team 
  7. 10x – making sure the product has opportunity to scale and grow with attractive ROI  

This valuable framework provided an exciting translation layer between the research world and the investment/commercial world – a major focus for the day. Simon also stressed the need for simpler IP management and closed with a gentle nudge to grow fast and not to be shy about ambition. His talk set the scene for the rest of the day, helping both sides understand each other’s expectations and how to work together more productively. 

Showcasing UK Capability in Action 

Across the exhibition floor, HASC researchers demonstrated technologies that are set to shape the future of standards, technologies and advanced networks. From advanced radio systems to experiments in AI-native infrastructure, the projects on display revealed the depth and breadth of UK innovation on all spectrum connectivity. Demonstrating market-ready or near-market tech, here is an overview of the amazing work HASC researchers exhibited at the Advanced Connectivity Showcase: 

Advanced Radio Systems, Advanced PHY Layer Technologies & Spectrum Innovation 

  • Imperial College London:  Rate-Splitting Multiple Access (RSMA) for 6G – Next-Gen Wireless
  • Queen’s University Belfast:  HASC related work at the Centre for Wireless Innovation  
  • National Physical Laboratory:  Exploring reconfigurable intelligent surface technology for optimal end-to-end connectivity 
  • University of Bristol:  SINATRA: Successive Interference Cancellation for Dynamic Spectrum Access 
  • University of Bristol:  GaN technology for resilience and energy efficient RF 
  • Imperial College London:  Reinforcement-Learning Beam Alignment for Base-Station Transmissions without CSI 
  • University of Oxford:  Resilience for Fiber-Wireless-Fiber Links Using Handovers 
  • University of Sheffield:  6G Radio 
  • University of Surrey:  ML-Enabled RIS-Aided Communication 
  • University of York: ORLANDO:O-RAN intelligent adaptive Load bAlaNcing and efficiency in highly Dense deplOyments 
Hamed Ahmadi University of York Demonstrates ORLANDO Project
Hamed Ahmadi, University of York, discusses the ORLANDO project on the exhibition floor with delegates at the Advanced Connectivity Showcase

AI-Native Networks & Automation  

  • University of Cambridge:  Synchronous Photonic Switch Node: An Enabler for Future Low-Power, Low-Latency AI and RAN Networks 
  • Optoelectronics Research Centre, University of Southampton: AI-Enhanced Chip-Scale Optical Monitoring: Smarter Network Diagnostics with SOAs 
  • Smart Internet Lab, University of Bristol:  mATRIC Digital Twin enabled Omniverse: Addressing intelligent wireless access and robot twin simulation for 6G applications 

Emerging Technologies & Frontier Communication 

  • University College London:  Atmospheric turbulence emulator for free space optical communications 

Security, Privacy & Trust  

  • University of Liverpool – Securing Wi-Fi Connectivity: Wi-Fi Device Authentication Using Hardware Fingerprints 
  • Bangor University (DSP Centre) – Plug-and-Play and Low-Cost Optical Repeater Prototypes
Jasmin Parkes from University of Bangor DSP Centre of Excellence
Jasmin Parkes from University of Bangor DSP Centre of Excellence

HASC At the Heart of The Connectivity Ecosystem

At HASC, our work isn’t just about producing excellent research. It’s about creating the right conditions for collaboration, helping industry engage early, and ensuring UK capability advances in a coordinated, strategic way. Bringing people together at events like the Advanced Connectivity Showcase is part of that mission. 

Professor Dominic O'Brien HASC Director Delivers Opening Talk Advanced Connectivity Showcase
HASC Director Professor Dominic O’Brien, University of Oxford, addresses the audience at the Advance Connectivity Showcase outlining the aims of the HASC project

Looking Ahead: A Shared Vision for UK Leadership 

The future landscape is evolving rapidly. With THz and optical spectrum explorationcutting-edge fibre systems, and intelligent, integrated ‘all-spectrum’ management all making significant advancements, the work across HASC and the FTH has a key role to play in strengthening the UK’s leadership. 

As per the HASC vision, future systems will need to optimise everything together, both wired and wireless infrastructurecapacity, reliability, sensing, latency, security, resilience and sustainability. That’s not something any single organisation can solve alone. This is why we believe collaboration is so essential. Academia brings depth of knowledge; industry brings commercial insight, scale and real-world use cases. Together, we can turn research into capability and capability into competitive advantage. 

In Closing 

As the doors closed on the Showcase, one thing was clear: the UK’s future networks depend on us doing much more of this – coming together, building relationships, sharing expertise, and building the technologies that will shape the next decade and beyond. The gap between discovery and deployment is where national advantage is won. And by bridging that gap, together, we can accelerate the UK’s path to secure, resilient and world-leading connectivity. 

 


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The Role of the THz Spectrum in 6G and Beyond

The Role of THz and 6G

Even whilst 5G is still being rolled out worldwide, the groundwork for 6G is already being laid, with standards delivery expected around 2030. Data use worldwide is increasing exponentially (rising 15% in the UK between 2022 and 2023 alone), and this will only accelerate with the advent of emerging and future applications, such as autonomous vehicles, smart cities and immersive healthcare. This means that future telecommunications networks will need to deliver a step-change in capability, rather than incremental gains.

Introducing 6G is not only about faster downloads; the vision is for an extremely fast, ultra-reliable, low-latency, and intelligent communication fabric, achieving coverage everywhere and helping to close the digital divide. This network will also need the capacity to accommodate future 6G applications that demand extremely high data rates – and the terahertz (THz) spectrum is emerging as a promising candidate to extend standard technologies into new domains.

What is the THz Spectrum? 

The THz spectrum spans frequencies from around 0.1 THz (100 GHz) to 10 THz, with corresponding wavelengths from about 3 mm down to 0.03 mm – shorter than microwaves, longer than mid-IR/near-IR, and overlapping the far-infrared. What makes THz particularly appealing is the enormous amount of bandwidth available. This allows for ultra-high-speed connectivity, potentially supporting wireless data rates exceeding 100 Gbps – well beyond what is possible with 5G or even advanced mmWave.

Because of this, the THz band has become an active 6G research topic, with engineers and scientists worldwide exploring how it could reshape future mobile networks.

Why THz Spectrum for 6G? 

 The THz spectrum offers:

  • Massive bandwidth: Enabling peak throughputs of 100 Gbps and beyond.
  • Faster data transmission (lower latency): Because THz provides an exceptionally large bandwidth, each data symbol can be transmitted over a much shorter duration, reducing overall latency. In addition, the very high data rates available at THz frequencies make it possible to send information without compressing it first – avoiding the extra processing time needed for compression and decompression in lower-bandwidth systems.
  • Closer integration with optical fibre: THz signals can be generated directly from optical signals by photomixing (where THz radiation is generated by combining two different laser signals on a high-speed optical detector). This makes it possible to create seamless hybrid fibre-wireless networks, combining the reach of optical fibre with the flexibility of wireless.
  • Advanced sensing capabilities: Thanks to their very short wavelengths and unique interactions with different materials, THz signals can be used not just for data transfer but also for high-resolution imaging and sensing – enabling applications from gesture recognition to integrated communication-and-radar systems.

These qualities position THz as an enabler of the capabilities policymakers have identified for 6G: intelligence, sustainability, security and universal access.

Utilising the THz spectrum in 6G for Virtual Reality Applications

Utilising the THz spectrum in 6G could also unlock new innovations, including:

  • Immersive communication: Holographic conferencing, volumetric (3D) video and ultra-realistic augmented or virtual reality will demand ultra-high-speed connectivity with millisecond latency.
  • Data centre connectivity: Short-range high-speed comms using THz links could replace some fibre interconnects, reducing cabling complexity and cost.
  • Wireless backhaul: THz could provide fibre-like performance in places where laying fibre is impractical.
  • Smart’ applications and automation: By enabling high-resolution sensing, THz could support applications that include ‘Internet of Things,’ ‘smart’ factories and cities, and autonomous driving – areas that require precise motion tracking and/or machine coordination.
  • Robotics: Highly-responsive connectivity and integrated sensing could enable advanced robotics, including for healthcare, surgery and industry.

Barriers and Challenges in THz

Despite its promise, THz communications face steep barriers:

  • Severe propagation loss: THz signals attenuate rapidly in free space and are highly vulnerable to obstacles and environmental conditions.
  • Short transmission ranges: Links are typically limited to tens of metres without special equipment.
  • Regulatory uncertainty: Unlike microwaves and mmWave, which already have clearly defined and regulated spectrum allocations, the THz band still lacks globally agreed allocations for communications.
  • Device engineering: Generating and detecting THz efficiently requires specialised photonic and electronic devices that are still under development.

Faster Data Lower Latency with THz 6g

HASC Research into THz 

To address these challenges, the Hub in All Spectrum Connectivity (HASC)’s THz research portfolio includes device development, optical-wireless integration and network modelling. Some highlights include:

  • THz–Optical Convergence: UCL researchers in HASC, in collaboration with the University of Duisburg-Essen and ACST GmbH, recently demonstrated the conversion of optical fibre signals into THz wireless links, achieving data rates up to 180 Gbps. This shows how existing fibre infrastructure could be seamlessly extended into the THz domain.
  • Dark fibre experiments: HASC is investigating the potential of the THz spectrum using the UK’s EPSRC-funded ‘dark fibre’ network. This gives researchers hundreds of kilometres of real-world fibre to test new ideas, such as carrying and regenerating THz signals over long distances to explore how to link high-speed fibre networks with future THz wireless systems.
  • Device innovation: A promising technology is the UTC-PD (Uni-Travelling Carrier Photodiode), which converts optical signals into electrical / THz signals. HASC researchers are developing new ways of housing and integrating ultra-fast UTC-PDs, so they deliver more power, handle higher speeds and work more reliably in THz transmitters and receivers.

HASC’s broader portfolio includes advances to provide the underlying capabilities needed to reliably generate, stabilise and harness THz signals within future 6G systems. These include developing methods to create ultra-high-frequency signals by combining laser sources, and designing advanced THz receivers that detect high-frequency signals efficiently and are compact enough for easy integration into real-world systems. Together, these efforts lay the groundwork for turning the promise of THz into practical, everyday 6G connectivity.

6G and Beyond

As the 2030 target for standardising 6G rapidly approaches, the next few years will see THz research move from controlled experiments to field-ready prototypes, allowing researchers to assess how THz can fit into the next-generation communications network. If the attractive qualities of THz are to support the vision for a robust, flexible future telecommunications network, it is vital that the challenges of THz propagation, regulation and device design are addressed.

Ultimately, no single technology will deliver 6G: instead, it is likely this will dynamically integrate THz, mmWave, microwave and legacy frequencies to balance coverage, mobility and capacity. For industry professionals and academics alike, the message is clear: keep watching the terahertz 6G research space. The next generation of wireless is being built now, and the exciting capabilities of THz are starting to take shape.


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The Latest Research on Next-Gen Connectivity

The vision for next-generation connectivity

The Latest Research Next Generation Connectivity

Each new mobile network generation has brought greater data capacity and faster downloads, and in this respect 6G will be no different. But the vision for future connectivity goes far beyond this. Instead of networks focused on transferring information from one point to another, the aim is for a system that embeds digital communications into the fabric of all areas of society – bringing unprecedented levels of connectivity, resilience and innovation.

Such a communications landscape would enable a far greater variety of nodes to come online, for instance autonomous vehicles and intelligent ‘Internet of Things’ devices. This will allow a wealth of new technologies to become mainstream, from smart cities and virtual healthcare, to immersive digital environments and even applications we can’t yet foresee.

HASC is a partner in the Federated Telecoms Hubs (FTH), working alongside hubs such as TITAN, CHEDDAR, and JOINER, to address this ‘grand challenge’ of connectivity. Our particular focus is on the underlying physical connections within this fabric.

The technology behind future connectivity

Achieving next-generation technology will require integrating both existing communications infrastructure and new domains into a single coherent architecture. This is expected to include:

  • New frequency bands, including millimetre-wave (mmWave) and terahertz (THz) frequencies, enabling ultra-fast, short-range data transfer in dense environments.
  • Advanced optical communications, using both fibre-optic cables and free-space laser links. These will provide an ultra-high-capacity backbone for data-intensive applications, such as data centres.
  • Radio systems, which will continue to provide reliable, wide-area coverage and mobility.
  • Artificial intelligence (AI) and machine learning to manage complexity and optimise performance dynamically.

Together, these elements form the foundation of HASC’s work on future connectivity: a spectrum-agnostic, adaptive network fabric that unifies the best of wired and wireless systems. Ultimately, this will ensure that the UK’s communications infrastructure of tomorrow is not only faster, but more intelligent, efficient, and secure.

How is HASC helping to bring next-gen connectivity forward?

Delivering next-generation connectivity is a multifaceted challenge, with hurdles to overcome across technology, regulatory and policy domains. To address these, HASC is leading a holistic research portfolio, spanning Modelling and Measurement, Connectivity, Adaptivity, and Security. In particular, the hub stands out for its work in both optical and radio frequency communications, with a goal of generating insight on how we can unite wired and wireless domains.

Three particularly promising new technologies that HASC are investigating are:

  • Hollow-core optical fibre (HCF)

This next-generation fibre technology guides light through air rather than solid glass, which has the potential to substantially reduce the signal delay and distortion that limit today’s conventional single-mode fibres. HASC is investigating how these fibres can enable ultra-low-latency, high-bandwidth communication while also supporting new capabilities. In recent work, HASC researchers demonstrated that hollow-core and multicore fibres can carry both optical power and communications simultaneously, with the potential to improve the resilience of networks by providing ‘back up’ power.

  • Integrating sensing and communications

One of the emerging frontiers in Future Connectivity is the fusion of sensing and communications into a unified system sharing spectrum, hardware and signals. HASC researchers are making the measurements that underpin some of this work.

  • Quantum key distribution (QKD)

QKD can be used to improve network security by applying quantum mechanics to create cryptographic keys that are theoretically immune to eavesdropping. HASC researchers are investigating how to integrate QKD into both wired and wireless systems, to enable tamper-proof communications. In a recent study, they demonstrated secure data transmission using quantum encryption at speeds of up to 5 Mb/s over 25 kilometres of fibre. The system used an innovative approach where each receiver generated its own local reference signal, rather than sending one through the fibre – a design that makes the link far more secure against interception or tampering.

Other areas that HASC researchers are exploring include hybrid fibre–wireless links that combine the capacity of optical fibre with the flexibility of mmWave wireless; intelligent surfaces to boost the propagation of weakly-penetrating signals; optical wireless integration for high-capacity data transfer over short distances; and how AI can be applied to improve spectrum utilisation and network performance.

Breaking down barriers between academia, industry, and policy

The road to 6G and next-generation connectivity can be accelerated through close alignment between industry, policy professionals and academic researchers. A strong example is HASC partner Imperial College London co-chairing the European Telecommunications Standards Institute (ETSI)’s Industry Specification Group, collaborating with a range of companies including BBC and Viavi. This pre-standardisation forum focuses on developing future multiple access techniques for 6G standardisation.

Next-gen Connectivity Research is breaking down barriers between academia industry and policy

Another case study is HASC’s collaboration with BT to develop Power-over-Fibre (PoF): a novel approach to delivering electrical power to communications equipment without relying on traditional copper cabling. As copper infrastructure is phased out in favour of all-fibre networks, the capability to support critical communications even during periods of local power outages is lost. PoF offers a promising alternative, enabling remote powering solutions in all-fibre communication systems. This work has already resulted in a series of demonstrations showing optical power delivery to remote equipment through the communication fibre, and several publications. The research is supported by BT, who developed the use cases motivating the investigation into PoF implementation solutions, sponsored a PhD studentship in this area, and loaned equipment for experimental network demonstrations.

Delivering the vision

Next-generation connectivity represents a paradigm shift in how we understand, design, and experience communication. Instead of treating modes as separate technologies, these will be united into a single, intelligent system.

 But there remain many unknowns. For instance, how can we diversify communications while reducing energy consumption and aligning with net zero targets? Can we leverage advances in quantum computing and integrate these into classical systems? How can we strengthen network security and resilience, for instance using new satellite capabilities?

These are difficult questions to address, and HASC is working together with our FTH partners to help answer them.


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mmWave and THz: Understanding the Differences

Young woman browses on her mobile device mmWave and THz Understanding the Differences

Demand for wireless connectivity is rising exponentially. As requirements for speed, capacity and reliability grow, engineers and researchers are pushing beyond today’s mobile technologies to explore new frontiers in the electromagnetic spectrum. Two promising candidates for future wireless technologies are millimetre wave (mmWave) and the terahertz spectrum (THz). Both sit in the high-frequency wireless end of the spectrum and promise extraordinary capabilities, but they also bring challenges. Understanding the differences, and how they might work together, is a task that the Hub in All Spectrum Connectivity (HASC) is fully embracing.

What are mmWave & THz?

The electromagnetic spectrum is divided into frequency bands. The higher the frequency, the shorter the wavelength and the more data that can be carried, though this often comes with greater transmission challenges.

  • mmWave typically refers to frequencies between around 24 and 300 GHz, with wavelengths measuring between 1 and 10 mm. mmWave is already being commercially deployed in US 5G networks (with the UK moving towards implementation) and is a core part of the discussion around 6G.
  • THz generally refers to frequencies from 100 GHz up to 10 THz (10,000 GHz), with wavelengths between 3 mm and 30 µm. This range offers a very large bandwidth and high-capacity transmission, making it a key candidate for meeting the data demands of future network applications.

Since the ranges of mmWave and THz overlap, the boundaries between these are not always rigid, and their characteristics can sometimes blur.

The Similarities and Differences of mmWave & THz

As mmWave and THz are both high-frequency bands, they share many fundamental traits. These include:

  • High transmission loss: signals weaken quickly as they travel, which limits range and requires more transmitters or repeaters.
  • Poor penetration: walls, furniture and even human bodies can block or absorb the signal, making indoor coverage difficult.
  • Line-of-sight requirement: reliable links often need a clear path between the transmitter and receiver, as signals do not bend easily around obstacles.
  • Environmental sensitivity: conditions such as rain, humidity or atmospheric absorption can further reduce performance.

However, mmWave and THz also have key differences:

  • Data rates: whilst mmWave could deliver high-speed connectivity to modern networks, the capabilities of THz far exceed this, with the potential for ultra-high data rates exceeding 100 Gbit/second.
  • Propagation and loss: THz frequencies experience even higher propagation loss than mmWave. This means that while they can transmit vast amounts of data, their range is more limited.
  • Penetration: both mmWave and THz have significantly lower penetration than radio frequencies. However, whilst mmWave can penetrate certain materials such as glass with manageable loss, THz waves penetrate much more weakly and are mostly restricted to direct, unobstructed paths.

In short: mmWave can travel further, while the THz spectrum can deliver more data over shorter distances.

Use Cases: Today and Tomorrow

mmWave today: mmWave is already finding its place in commercial systems. Telecoms are integrating mmWave into mobile networks to boost capacity and deliver faster wireless experiences. For users, this means higher speeds in dense urban centres, stadiums or transport hubs where data demand is extremely high.

Emerging THz applications: THz is currently much less commercially developed, but global interest and research is expanding rapidly. Potentially, THz in telecommunications could:

  • Replace short stretches of fibre optic cable, especially in areas where fibre installation is impractical or costly (for instance, across rivers or challenging terrain), or where fibre networks have been damaged during disasters such as earthquakes.
  • Enable short-range high-speed comms in data centres, where stable, ultra-fast links are essential.
  • Support advanced applications such as holographic conferencing or virtual reality/ augmented reality environments.

The exciting part is how the two might work together: mmWave providing robust, wide-area coverage, while THz delivers extreme data rates for high-capacity, short-range applications.

Challenges and Innovation

The main challenge for both mmWave and THz is overcoming the physical limitations of high-frequency signals, in particular, the fact they lose power quickly and don’t diffract around or penetrate obstacles well. Researchers are tackling these hurdles on multiple fronts:

  • Device engineering: building transmitters and receivers capable of generating and handling such high frequencies efficiently.
  • Hybrid integration: combining THz wireless with existing optical fibre infrastructure to extend range and resilience.
  • Algorithms and adaptation: designing systems that adapt dynamically to user movement and channel conditions, ensuring reliable connections even in difficult environments.

HASC Research Spotlight

At HASC, researchers are working to address key unknowns about the use of mmWave and THz in telecommunications. This has included measuring and modelling the performance of mmWave signals and their ability to deliver ultra-reliable WiFi in factory settings, and demonstrating the generation of precise THz signals by combining two different laser signals (known as photo-mixing) a technique which could reduce the implementation and operation cost of a THz communications system.

A strong focus is the integration of THz wireless with fibre networks to create seamless, end-to-end systems. For example, HASC researchers at UCL, in conjunction with German colleagues, have demonstrated a fully-optoelectronic 300 GHz wireless link, achieving up to 180 Gbps over 1.5 metres. This was done by mixing optical signals in order to generate and receive THz wireless signals. Such experiments show how fibre and THz wireless can be combined, paving the way for networks that are faster, more flexible and more efficient.

The Future: Complement, Not Compete

Looking ahead, it is unlikely that the future will be one of mmWave vs THz; instead of competing, these will complement one another:

  • THz will excel in scenarios demanding extreme data rates over short distances, such as data centres or specialised industrial environments.
  • mmWave will continue to support mobile users who need higher speeds than 4G/5G mid-bands can provide, while accommodating movement and broader coverage.

Together, mmWave and THz will form part of a flexible, multi-band ecosystem. This is central to HASC’s vision: an integrated network of wired and wireless systems, dynamically adapting to user needs. Through our research programmes and by brokering exchange between academia, industry and policy, HASC is working to accelerate the transition to a high-frequency wireless future.


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Intelligence in Action: How AI and ML Are Powering the Future of All-Spectrum Connectivity

Artificial Intelligence - AI For Connectivity

AI for Connectivity

As networks become more complex and connected than ever, artificial intelligence (AI) and machine learning (ML) are emerging as the foundation of intelligent and adaptive systems. Across the HASC project, our researchers are harnessing these technologies to advance connectivity, network security, and efficiency and pave the way for the next generation of intelligent future networks.

In support of techUK’s Intelligent Networks Awareness Day, we’re highlighting six of our cutting-edge projects that show how AI and ML are driving innovation across our four core challenges: Measurement & Modelling, Connectivity, Adaptivity and Security.

Together, these projects reveal how AI is helping to build future networks that think, learn, and adapt in real time. This technology is essential for the UK’s journey towards a fully connected future and all-spectrum telecommunications. Dive into this article as we explore the work from each core challenge. 

  Core Challenge: Measurement & Modelling

Accurate measurement and modelling allows us to understand existing connectivity behaviour and patterns. AI and ML is helping us to analyse, predict, and optimise the use of spectrum, from vast datasets. With this insight, our researchers are helping to make networks more efficient, responsive, and sustainable.

AI in Measurement Modelling – FEATURED PROJECT

TITLE: Spectrum: Enhanced Datasets & Models for Optimisation

  • LEAD UNIVERSITIES & PLATFORMS:  University of Bristol | Queen’s University Belfast | JOINER National Spectrum Facility
  • PRINCIPAL INVESTIGATORS:  Dimitra Simeonidou & Simon Cotton

AI Data Sets for Future Networks

CHALLENGE:  At present, there is limited visibility of how spectrum is used across the UK. This lack of detailed, real-time data makes it difficult to understand where and when spectrum is underused, and to design smarter systems for managing it.

INNOVATION: By collecting and studying this data, we are learning more about how different parts of the spectrum are used. Using machine learning (ML), we can create systems that identify unused bits of the spectrum and find better ways to share it. This will help make wireless communication faster, fairer and more efficient.

IMPACT:  The insights generated from monitoring nation-wide spectrum usage will be relevant to a range of standards groups and of interest to operators and regulators. Regular contact with standards bodies and operators will ensure it enables future spectrum innovations.

TECHNOLOGY ENABLER: This project is made possible by the award-winning JOINER platform.

JOINER’s National Spectrum Facility provides persistent, high-fidelity radio frequency monitoring and data capture across wide bandwidths and in diverse environments, enabling real-world, large-scale spectrum research, emulation and data gathering. With these features, it’s possible to predict future spectrum sharing scenarios, create testbeds to trial dynamic resource allocation strategies, and build AI-driven algorithms. JOINER is committed to ensuring that spectrum access is not a limiting factor on the UK’s economic and societal potential. 


 Core Challenge: Connectivity

Connectivity lies at the heart of every digital experience. It’s how we send a message, make a call or stream content.  

AI for Connectivity – FEATURED PROJECTS

TITLE: Signal Processing and Machine Learning for RF Transmission & Propagation Engineering

  • LEAD UNIVERSITY:  Imperial College London
  • PRINCIPAL INVESTIGATORS:  Bruno Clerckx, Ayush Bhandari & Kin Leung

CHALLENGE:  As 6G networks evolve, they must connect far more devices than ever, using limited spectrum. Current systems struggle to manage interference, energy efficiency and adaptability in complex real-world environments.

INNOVATION: We’re developing new multiple access and beamforming methods. We’re using rate-splitting, reconfigurable intelligent surfaces (RIS), unlimited sampling and machine learning (ML) to optimise wireless signals, even without detailed channel data.

IMPACT: This research supports UK-born 6G technologies entering international standards and delivers patentable energy-efficient architectures. This project enables rapid commercial adoption through new startups and collaborations with industry partners.


TITLE: Spectrum: ML-Enabled RIS Aided Waveforms

  • LEAD UNIVERSITY:  University of Surrey
  • PRINCIPAL INVESTIGATOR:  Gabriele Gradoni

CHALLENGE:  Challenges currently exist in dense environments such as city centres and indoor scenarios where mobile signal propagation struggles without clear line-of-sight. This leads to unreliable signals that cannot deliver the capacity that users require.

INNOVATION: This innovation uses machine learning combined with a novel technology called Reconfigurable Intelligent Surfaces (RIS). RIS enables improved signal strength and reduces interference. Machine learning algorithms are used to configure these surfaces to harness the electromagnetic wave energy in the environment.

IMPACT:  This technology brings coverage to places where signals would normally be weak or blocked leading to more stable and reliable mobile signals. Ultimately this will result in better services to users as we move towards 6G networks.


TITLE: Spectrum: ML-enabled MA and ISAC waveforms

  • LEAD UNIVERSITY:  University of Sheffield
  • PRINCIPALINVESTIGATOR:  Timothy O’Farrell

CHALLENGE:  Tomorrow’s 6G networks must deliver reliable high-speed communications to citizens wherever they are. New communications signals and waveforms can help with this goal. The University of Sheffield is using a state-of the-art testbed to evaluate new types of signals. The challenge is to keep the signal stable and reliable even when the environment is rapidly changing. 

INNOVATION: We’re testing how well ML can improve the way wireless signals are sent and received in future networks such as 6G, especially in highly mobile scenarios, such as in cars, trains or even drones. ISAC (Integrated Sensing and Communications) waveforms let wireless signal send data and sense the environment. This could be used for detecting where people or objects are.

IMPACT:  This project is focused on enhancing the capabilities of the wireless systems that are all around us. This will help to deliver more reliable communications to citizens as they move around, as well as enabling ‘smarter’ buildings and environments.


   Core Challenge: Adaptivity

The networks of the future must be able to think and learn in real time. Our adaptivity research uses AI, ML and Deep Reinforcement Learning (DRL) to help networks learn from data and adapt based on changes – essentially self-optimising networks. This adaptivity reduces congestion, improves spectrum management, reduces energy consumption and guarantees more resilient and robust networks fit for the evolving demands of future connectivity. 

AI for Adaptive Networks – FEATURED PROJECT

TITLE: O-RAN intelligent adaptive Load balaNcing and efficiency in highly Dense deplOyments: ORLANDO

  • LEAD UNIVERSITY:  University of York
  • PRINCIPALINVESTIGATOR:  Hamed Ahmadi

CHALLENGE:  Dense O-RAN networks find difficulty maintaining performance under uneven traffic loads, wasting precious spectrum and causing congestion. AI-driven load-balancing can help alleviate this, and this work will investigate this technique at scale.

INNOVATION: ORLANDO is developing AI and ML-driven solutions for intelligent load balancing in dense Open RAN (O-RAN) networks. By dynamically distributing traffic across a network, the system improves efficiency, reduces latency and energy use, and enables scalable, self-optimising wireless networks capable of adapting in real time to changing demand.

IMPACT:  Citizens rely on reliable communications, and providing this across different environments, at reasonable cost means that optimising network performance is an important area. AI will play a key role in this. Success will mean better service in crowded areas, with fewer dropped calls, less buffering, and more reliable connections.


   Core Challenge: Security

As networks grow more complex and more intelligent, so too must their defences. AI and ML are transforming the way we protect systems. We are exploring quantum key distribution (QKD) and looking at ways we can authenticate devices at the physical layer rather than vulnerable users. Our deep research in this area is helping to design future networks that are not only connected but also secure and trusted.

AI in Security – FEATURED PROJECT

TITLE: Securing Spectrum Connectivity Over-the-Air Authentication Using Radio Frequency Fingerprinting

  • LEAD UNIVERSITIES:  University of Liverpool | Heriot-Watt University | Queen’s University Belfast
  • PRINCIPAL INVESTIGATOR:  Junqing Zhang

CHALLENGE:  Today’s networks trust devices based on passwords and software credentials that can be hacked or stolen. In the future billions of IoT devices are likely to be used in sectors such as healthcare and in smart cities. By reading a device’s unique radio ‘fingerprint’ at the physical layer, we can verify its identity the moment we add additional security to networks.

INNOVATION:  ML-enabled, PHY layer radio frequency fingerprint identification (RFFI) wireless for authenticating radio devices. Rather than authenticating users, this technology authenticates devices.

IMPACT: As we connect more and more devices (including IoT, smartwatches and phones and smart home devices) we need new ways to protect networks from fake or malicious devices. Traditional security methods (like passwords) can be hacked but using a device’s own physical signal as its ID is much harder to fake. This development will help citizens remain secure.


Looking Ahead, The Future of AI Intelligent Networks

Together, these projects demonstrate the power of AI and ML in creating networks that are not only faster and more efficient, but fundamentally smarter. By combining research excellence across our four challenges, HASC is accelerating the UK’s progress towards intelligent, adaptive, and secure connectivity, ensuring that the networks of tomorrow truly work for everyone.

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Exploring the Future of Spectrum: Highlights from HASC Connect Technical Meet-Up

On 23rd September, the entire HASC research team came together in Oxford for our annual technical meet-up, HASC Connect. This event is an important opportunity for researchers from across the UK to come together, share their progress, their wins and their innovations. With our project growing rapidly, the day provided a vital face-to-face forum for knowledge exchange, collaboration, and networking across our multi-disciplinary community.

This type of meet-up is always about much more than just research updates, they are about creating the space for new conversations, burning questions, and the collaboration that helps shape the future direction of our work.

HASC Connect Technical Update
HASC Connect Technical Update – Delegates meet in reception
HASC Connect Technical Poster Event
The HASC Connect technical poster sessions proved a highlight of the day, giving researchers a chance to explore innovative work from across the project
HASC Connect Technical Update Delegates Gather in the Lecture Theatre
HASC Connect Technical Update – delegates gather in the lecture theatre in the Engineering Science Dept. at the University of Oxford
HASC Director Dominic O'Brien
HASC Director Dominic O’Brien outlines the vision for the year ahead during the HASC Connect wrap-up

 

A Packed Agenda

The day was built around an ambitious programme, covering research from across our four challenges, updates from the Federated Telecoms Hubs (FTH), lightning presentations from our new projects, poster sessions, a keynote, a lab tour and, as if that wasn’t enough, we also had a look towards what the future holds for HASC.

Key themes included measurement and modelling, connectivity, adaptive networks, and security, brought to life by the following contributions:

  • C0 – Measurement & ModellingIndoor Channel Measurements from 6 GHz to 600 GHz
    • Presented by: Simon Cotton & Vanessa Wood (Queens University Belfast)
  • C1ConnectivityOvercoming Intensity Modulation/Direct Detection Transmission Limits with a Silicon Photonic Optical Processor
    • Presented by: Hao Liu (University of Southampton)
  • C2AdaptivityEfficient, Reliable and Resilient Networks
    • Presented by: Xiaolan Liu (University of Bristol)
  • C3Security – CV-QKD: How to build a real system
    • Presented by: Amanda Weerasinghe (University of Cambridge)

Simon Cotton Presents Measurement & Modelling at HASC Connect
Simon Cotton introduces Challenge 0 (Measurement & Modelling) with his talk: ‘Indoor Channel Measurements from 6 GHz to 600 GHz’
Vanessa Wood Presents Indoor Channel Measurements
Vanessa Wood showcases her research on ‘Indoor Channel Measurements from 6 GHz to 600 GHz’ as part of the Measurement & Modelling section of the project’s Lightning Presentations
Sam Giltrap briefs HASC researchers on the Federated Telecoms Hubs
Sam Giltrap briefs HASC researchers on the Federated Telecoms Hubs structure, outlining available support for IP protection and commercialisation across the project

 

Highlights from the Sessions

One of the standout moments was the keynote from Professor Noa Zilberman, who explored Carbon Aware Communications: Challenges and Opportunities. Her talk encouraged us to think about the environmental impact of our networks, raising important questions about sustainability and the choices we make as a research community.

Across the lightning presentations, we saw a diverse range of exciting work, from silicon photonics and advanced optical networking to quantum key distribution and resilient network design. The poster session provided a lively forum for in-depth discussion, with researchers engaging directly on all the deep-dive technical detail and identifying opportunities to connect work across different challenges.

The FTH directors talked to the team about IP, skills & training, commercialisation and standards. The content was delivered by Sarah Hardy, Samual Giltrap and Nikola Serafimovski, to whom we are very grateful.

The afternoon featured newly funded projects from partners including NPL, Essex, York, Bristol, Sheffield, Strathclyde, King’s, Leeds, and Bangor. These projects are already bringing fresh expertise and ideas, from reconfigurable intelligent surfaces and 6G massive access to O-RAN adaptive load balancing, fibre-mmWave convergence, and metasurface-enabled security.

Key Takeaways

  • The community is expanding rapidly, with new partners and projects strengthening our collective capability.
  • There is a growing focus on cross-cutting themes such as sustainability, standards, and real-world deployment.
  • Poster sessions and lightning talks proved invaluable for deep technical discussion and idea exchange.
  • Integration with the JOINER national experimentation platform will be central to progress in the year ahead.
  • There is strong momentum to showcase HASC research on the international stage, with Mobile World Congress 2026 already in sharp focus.

Looking Ahead

HASC Connect once again demonstrated the value of bringing people together. Not just to share research updates, but to build the connections that make collaboration so effective. As we move into the next phase of work, the ideas and partnerships formed in Oxford will play a crucial role in shaping our research and its real-world impact.

A big thank you to all who contributed, from presenters and poster authors to everyone who attended and made the journey to Oxford to make the day so valuable. We’re excited to continue this journey with you and look forward to sharing more in the future.


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Teaching the Network to Think: Smarter Fibre for the Future of Connectivity

How artificial intelligence is improving spectrum utilisation and boosting performance in next-gen optical systems


Lead Institution:

  • University of Bristol (Smart Internet Lab / HASC)
Project Partners:
  • Chalmers University of Technology, Sweden
  • Universidad Carlos III de Madrid, Spain
Supported by:
Challenge:
  • Traditional optical network algorithms are inefficient for managing multi-band spectrum.
Solution:
  • A deep reinforcement learning (DRL)-based framework that dynamically provisions services based on real-time network conditions and quality of transmission (QoT).
Impact:
  • Reduced service blocking by 35%–85%; improved spectral efficiency and scalability for 5G/6G readiness.

THE CHALLENGE: Today’s networks are under growing pressure

Today’s networks are under growing pressure. As emerging technologies like 5G, 6G, AR/VR, IoT, cloud services, and AI continue to evolve, they’re driving an explosion in data demand, placing unprecedented strain on existing fibre infrastructure. And this demand is only going to increase.

Traditional optical networks mostly operate within the C-band, but multi-band (MB) elastic optical networks (EONs) offer a powerful alternative. By unlocking additional spectral regions such as the L and S bands, MB-EONs expand the usable spectrum from around 5 THz to as much as 20 THz. So far, so good.

The challenge? Managing this expanded spectrum is becoming increasingly complex. Conventional algorithms simply aren’t up to the task. The result is a high rate of service blocking, where connection requests are denied or dropped, leading to poor user experience and significant inefficiencies in resource use.

THE SOLUTION: A new approach to spectrum management

A new approach to spectrum management is required. The team wanted to establish new ways of addressing four main issues:

  • Service blocking
  • Complex spectrum management
  • Quality of transmission (QoT)
  • Scalability

The team turned to AI and deep reinforcement learning (DRL), which is the same novel technology used to power things like autonomous driving algorithms and robots learning to walk, jump, or perform a backflip.

Reinforcement Learning (RL) is a type of machine learning where an (AI) agent learns to make increasingly better decisions by interacting with its environment. It gets rewarded for correct calculations and optimisations and penalties for bad decisions.

Deep learning (neural networks) allows the agent to handle more complex, high-dimensional environments.

KEY TECHNICAL INNOVATIONS: Applying DRL to network management

Applying DRL to network management, the team developed an innovative framework designed to do a number of things.

Learn and continually improve

The new framework learns by interacting with simulated networks, rewarding itself for successful provisioning. Inputs to the DRL include both route-level and band-level features, giving it a rich view of the whole network and current conditions. This allows it to adapt and make holistically informed decisions.

The DRL accelerates its own learning and optimises for long-term throughput (not just short-term wins). The innovative reward function enables it to learn effective strategies way beyond what traditional heuristics can achieve.

The system trains itself to get better over time instead of needing constant human fine-tuning.

Handle complex spectrum management

DRL handles the complexity of multiple bands and modulation formats that traditional algorithms simply cannot. It can dynamically allocate spectrum across MB-EONs, making more efficient use of the available spectrum.

Provide sufficient signal quality

The built-in QoT assessment model ensures that allocated resources provide sufficient signal quality, avoiding wasted or unusable connections. It does this by profiling the real performance of modulation formats per channel, so the algorithm makes physics-aware decisions. This means fewer wasted resources and ultimately more reliable connections overall.

Network adaptivity

AI adapts and scales with growing demand, unlike static rules.

THE RESULTS

  • Service blocking reduced by 35% – 85% compared with existing heuristic methods: Making networks significantly more efficient and capable of handling surging traffic.
  • Improved resource utilisation: Allocating spectrum more efficiently and with higher QoT guarantees.
  • Scalability: System adapts to increased traffic loads and network complexity.
  • Operational efficiency: Operators can serve more users and higher bitrates without physically laying more fibres (which is costly, disruptive and not always viable – especially in built-up areas). Boosting capacity in this way offers a more effective and sustainable way to scale.

This method avoids the need for costly, high-emission fibre deployment, aligning with the UK’s sustainability goals and net-zero strategy by maximising existing infrastructure efficiency. This innovation could benefit many real-word applications including 5G and 6G backhaul, high throughput networks and even data centre interconnects for hyper-scalers such as Google and Meta. Without solving these issues, users face slower speeds, dropped connections, and spiralling infrastructure costs. For users, this innovation means improved services such as consistently reliable streaming and improved mobile performance.

TIME TO DEPLOYMENT

  • Short term: Algorithm validated in simulation; lab prototypes are feasible now
  • Medium term (3–5 years): Field trials for 5G backhaul expected as MB optical systems evolve
  • Long term (5–10 years): Key enabler for 6G core network infrastructure and widespread MB-EON adoption

This is not something operators can roll out tomorrow, but it is an important stepping stone towards preparing optical infrastructure for 6G-scale traffic. By laying the groundwork now, operators will be ready for a future where 6G-scale traffic is not longer a challenge, but a significant opportunity.


“Proud to see how AI can reshape optical networking for the next generation of scalable, resilient infrastructures.” Shuangyi Yan (Associate Professor & Programme Director at University of Bristol)


TEAM & PAPERS

University of Bristol – Smart Internet Lab

  • Yiran Teng
  • Haiyuan Li
  • Shuangyi Yan
  • Dimitra Simeonidou

Chalmers University of Technology, Sweden

  • Carlos Natalino
  • Paolo Monti

Universidad Carlos III de Madrid, Spain

  • Farhad Arpanaei
  • Alfonso Sánchez-Macián

Supporting Projects

  • ECO-eNET – EU-SNS funded initiative for energy-efficient confluent networks
  • ALLEGRO EU – Horizon Europe project for ultra-low energy secure networks

Paper: DRL-Assisted QoT-Aware Service Provisioning in Multi-Band Elastic Optical Networks – https://ieeexplore.ieee.org/abstract/document/11131684

Download the case study: https://allspectrumhub.org/wp-content/uploads/2025/09/Case-Study-DRL-Assisted-QoT-Aware-Service-Provisioning_01-0925.pdf 


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Spectrum Management: Challenges and Innovations in Future Connectivity

Spectrum is the invisible infrastructure of our connected world. Every time we send a message, stream a video, or connect a device, we are relying on carefully managed slices of spectrum – the defined radio and optical frequencies through which wireless digital information flows. But this space is becoming increasingly crowded as our demand for mobile data grows year on year. By 2030, Ofcom has estimated that UK mobile data demand may be 7.5 to 52 times the level of 2021, and as high as 19 to 540 times by 2035. Managing the spectrum has therefore become both a highly complex and increasingly urgent challenge.

What Is Spectrum Management?

Although the electromagnetic spectrum is theoretically continuous, only certain ranges are practical for communications. Very low frequencies cannot carry high data rates, while extremely high frequencies – such as X-rays or gamma rays – are unsafe or impractical. This means that the usable portion (from 300 kHz to 300 GHz) is a finite resource.

Spectrum management is the coordinated allocation and management of usable frequencies to ensure wireless communication services can operate efficiently and without interfering with each other. Regulators (such as Ofcom for the UK) assign specific frequency bands for designated purposes – such as mobile phone networks, public safety functions, and satellite services. Telecommunication providers bid for frequency band licenses, then build infrastructure to deliver services. 

Why Spectrum Management Matters

Communications infrastructure is now as essential to our societies as electricity or water. In 2023, the UK Government described spectrum as a ‘critical national asset’, with ‘more efficient and intelligent use of spectrum’ a priority for continued growth across many sectors.

But just as demand for mobile data is rising exponentially, available spectrum in the most practical frequency range is becoming scarce. Usage is also becoming highly concentrated; for instance, most (around 80%) of wireless traffic now occurs indoors, carried over Wi-Fi or indoor mobile coverage. This places disproportionate pressure on lower frequency bands that propagate more easily through walls and other obstacles.

Meanwhile, emerging technologies, such as the future 6G, are pushing into higher frequency bands, including terahertz, which are technically more challenging and typically demand line-of-sight transmission. As more frequency bands come on board, this adds to the increasing complexity of the network, already convoluted by many legacy systems.

Energy consumption is also an increasing concern. If the UK is to achieve its Net Zero targets, reducing the energy footprint of data delivery is a key priority – however, improving energy-efficiency does not always align with achieving best spectral efficiency.

Meeting these challenges will require coordinated innovation that integrates technological advances with industry leadership and a supportive policy framework. HASC works at the intersection of these areas, forging towards a vision of seamless, energy-efficient spectrum management for tomorrow’s communication networks.

Addressing Congestion Through New Spectrum Access

Through our Connectivity work stream, led by University College London, HASC is investigating novel technologies that can use new regions of the spectrum, including terahertz and optical wireless domains. The optical spectrum is particularly attractive; unlike radio frequencies, much of the optical spectrum is not subject to regulatory licensing, and offers around 3,000 times more bandwidth. To tap into this opportunity, HASC researchers at Cambridge are pioneering Li-Fi: a high-speed wireless technology that uses light instead of radio waves. Experimental systems have achieved ultra-fast data transmission speeds of 100 Gbps; future work will build scalable systems that can support next-generation applications, and reduce pressure on the congested radio spectrum.

University of Cambridge demonstrates Wavelength Division Multiplexing Li-Fi at 100 Gbps

In the wired domain, a promising innovation is hollow-core fibres, where light travels through a hollow (air-filled) core instead of solid glass. These have the potential to transmit data with lower loss and latency, enabling higher speeds and energy efficiency in high-capacity settings such as data centres. Meanwhile HASC researchers at the University of Oxford are exploring how to link wired and wireless communication networks using light, by developing virtual fibres to provide high-speed wireless connectivity indoors. Data carried over fibres via light is then directed by a base station in the ceiling to travel wirelessly through free-space to a mobile terminal and back into a wired connection.

Improvements can also still be made in the radio frequency domain. Reassigning bandwidth in underutilised frequencies and decommissioning legacy networks, such as 2G, both offer ‘low-hanging fruit’ to free up capacity. A key focus for HASC, meanwhile, is exploring how we can ‘engineer’ the propagation environment using intelligent surfaces to overcome the natural travel limitations of higher-frequency signals, which could free up pressure on lower frequencies. This could include, for instance, engineered panels that guide radio signals more effectively through complex environments.

Managing Complexity with Adaptive and Multi-Band Systems

HASC’s Adaptivity programme, led by the University of Bristol, is addressing how we can efficiently manage the increasing heterogeneity of communications networks, with fibre, Wi-Fi, mobile, and optical systems operating in parallel. This work includes developing algorithms and AI-enabled control frameworks that can intelligently assess the most effective connectivity mode in real time, taking into account factors such as congestion, bandwidth availability, interference, and energy consumption.

A core element of this work is multi-band communication, where different portions of the spectrum (terahertz, radio frequency, and optical) are used simultaneously to enhance throughput and resilience. For instance, during emergencies or natural disasters, adaptive networks could quickly shift traffic from damaged wired infrastructure to wireless alternatives, maintaining critical communications when they are needed most.

This approach already shows promise in optical systems. Recent HASC research into multi-band optical transmission has demonstrated that by using extra spectrum beyond the traditional C-band (such as L- and S-bands) fibre networks could quadruple their capacity. Managing this expanded spectrum is technically challenging, but by applying deep reinforcement learning (a branch of AI that learns by trial and error) the research team reduced service blocking by up to 85% compared with conventional techniques, while keeping decision times practical.

Quantum and Spectrum Management

Communications systems are becoming increasingly complex and ensuring these remain secure is an ongoing challenge. Integrating new quantum technologies within the spectrum used by current systems, however, could provide enhanced security benefits. Through the Security challenge, led by the University of Cambridge, HASC researchers are investigating quantum key distribution (QKD) for both wired and wireless communication systems. QKDs use quantum mechanics to generate cryptographic keys that immediately alter their state in response to attempts to intercept or observe them. This makes them theoretically immune to eavesdropping, since this would alert the network to the presence of the breach.

Improved Energy Efficiency in Data Transport

Many of these technologies that HASC is exploring have the added potential benefit of reducing energy needs besides improving connectivity. Intelligent reflecting surfaces, for instance, reduce wasted transmitted power from poorly-propagating signals, whilst AI-enabled control frameworks could automatically select the most energy-efficient communication mode for a given situation. New types of optical fibre, meanwhile, could transmit much higher volumes of data, improving energy usage. In combination, these advances could enable future networks to deliver vastly more data without a proportional increase in energy use.

Looking to The Future

Ultimately, the goal of seamless, efficient spectrum management is inextricable from HASC’s vision of combining wired and wireless internet technologies into a single resource in order to deliver intelligent ‘all-spectrum’ end-to-end connectivity. Only then can we design future-proof networks that can intelligently adapt to meet the current and ever-evolving data demands of modern societies. By integrating advances across fibre, wireless, AI, and quantum, HASC is ensuring the UK remains at the forefront of research-led innovation to manage this unseen, yet essential asset.


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Modelling the Future: How HASC is Reimagining Wired & Wireless Networks

Here at HASC, modelling and measurement is a core element of our research – it is one of the four connectivity challenges we are exploring. In this post we explain modelling and measurement in more detail and discuss our approach to the challenge of combining wired and wireless internet technologies. Let’s get into it!

Computer Modelling

The Complexity of Modern Connectivity

The demands for connectivity are increasing exponentially. In today’s modern world, work has become borderless, mobile-first economies are booming and global audiences are becoming more diverse and more demanding than ever before. Our world is rapidly changing, as is our demand for faster, more agile connectivity. All this leads to greater complexity. As global connectivity expands and diversifies, communication networks need to keep up.

The Challenge of Managing Wired & Wireless Infrastructure

Traditionally, wired and wireless networks have been managed separately, with each being optimised individually for specific use cases. But with growing demand and ever more sophisticated requirements we must make better use of the spectrum as a whole.

To achieve the type of connectivity we need now, and, in the future, we must manage both resources as one unified entity. This means combining optical and radio frequency (RF) infrastructure… and this is where modelling can help.

What Is Modelling and Why Does It Matter?

To understand how we can improve connectivity, we first need the tools that help us test ideas safely and effectively. Modelling gives us exactly that. Modelling allows us to create digital representations of complex real-world networks and systems. These models help researchers and engineers simulate different scenarios, test new ideas, and predict how networks will behave under changing conditions. And all this without the cost or disruption of real-world trials. In the context of wired and wireless systems, modelling is crucial to understanding the interplay between technologies and identifying smarter, and sometimes more sustainable ways to deliver high-performance connectivity.

Analytical and Simulation-based Modelling Explained

Did you know there are different types of modelling? Here, we explain the differences between ‘analytical’ and ‘simulation-based’ modelling.

Analytical modelling

Analytical modelling uses maths and logic to describe how a system should behave, often resulting in equations that reveal core principles, such as how signals propagate (how they travel from transmitter to receiver in different environmental conditions).

Simulation-based modelling

Simulation-based modelling, by contrast, involves running virtual experiments using software. It allows us to test real-world conditions, explore ‘what if’ scenarios by adding new variables, and validate the ideas developed during the analytical stage.

HASC’s Approach to All Spectrum Connectivity & Modelling

At HASC, we’re not studying networks in ‘silos’, we’re building models that treat wired (optical/fibre) and wireless (radio frequency) infrastructure as one interconnected system. This approach allows us to explore how these technologies can best work together. We use a framework that includes both analytical and simulation-based modelling to illustrate and better understand how to optimise different combinations of the spectrum. We are experimenting with how both wired and wireless channels can be used together across various applications and in many different environments.

A Holistic Network Model

This unified approach will allow us to:

  • Capture the interactions between different network layers, network types, and technologies.
  • Observe multiple variables across both systems, such as bandwidth, latency, energy use, traffic load, and environmental factors.
  • Re-create real-world complexity, rather than assuming ideal or simplified conditions for just one part of the network.

In new and emerging environments like smart cities, connected transport, or connected healthcare both types of connectivity need to be used together – often dynamically.

A Look Inside A HASC Modelling Project

One of the most ambitious modelling projects underway at HASC focuses on understanding how signals travel at ultra-high frequencies like mmWave, THz, and even light-based wireless. Here’s how that work is unfolding.

Enhanced channel measurement and modelling

mmWave, THz, Optical channel measurements and modelling

Project Led by Simon Cotton, QUB

This project supports the development of next-generation wireless technologies, such as 6G, by advancing our understanding of how high-frequency signals behave in real-world environments.

Measuring & Modelling Wireless

In the early stages, we’re focusing on measuring and modelling how wireless signals propagate through the air at mmWave and THz frequencies. These bands are essential for enabling ultra-high-speed, low-latency connectivity in future networks. The data we generate is being shared with key international standards bodies such as IEEE 802.113GPP, and ETSI. By sharing this data, we are ensuring that the insights we uncover can help shape the technical foundations of tomorrow’s wireless systems.

Smart Environments

In parallel, we’re developing models for novel environments that use reconfigurable surfaces, known as RIS (Reconfigurable Intelligent Surfaces) and RIE (Reconfigurable Intelligent Environments), to actively control how signals move through space. These smart environments can dynamically optimise signal paths, reduce interference, and enhance energy efficiency. Our modelling work is informing standards evolution within the ETSI (European Telecommunications Standards Institute) RIS ISG (Industry Specification Group on Reconfigurable Intelligent Surfaces) and contributing to a more agile and sustainable future network design.

Beyond Standards: The Broader Impact

The data and models produced through this project will do more than just feed into standards. They will help lay the groundwork for intelligent spectrum-sharing strategies, inform regulatory guidance and support future applications like autonomous mobility, immersive communications, and energy-aware network design. The ability to model, predict and optimise channel behaviour across such a wide range of frequencies will be vital as we move toward a more connected, more complex, and context-aware digital infrastructure.

Conclusion

Feeding into IEEE, 3GPP and ETSI is essential but beyond that, modelling projects like this help to accelerate innovation, ensure greater interoperability, and are helping to lower development barriers. Furthermore, open data contribute towards a more collaborative approach to technological advancements. It enables researchers across the globe, from academia and industry as well as supporting regulators. Ultimately, modelling is not just a technical task. It’s a strategic enabler for future digital ecosystems. Whether it’s autonomous transport, real-time healthcare, or immersive virtual experiences, the networks of tomorrow will rely on the modelling insights we’re building today.

 


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International Collaboration in Telecoms

“International collaboration is essential in telecoms innovation because future communication networks are inherently global.” 

The Federated Telecoms Hubs hosted a UK-Taiwan 6G joint workshop back in May of this year. This invitation-only event provided an opportunity for telecoms companies and researchers from Taiwan to come and explore opportunities and to collaborate on advanced communications and innovation. They met with academics from across the hubs, HASC, CHEDDAR and TITAN as well as other SMEs and representatives from UK industry.  

The aim of the event was to help foster new relationships between the two countries and focused on not only the current status of research and experimentation but also future opportunities including 6G infrastructure and its growing capabilities.  

Professor Dr. Shuangyi Yan Discusses International Collaboration in Telecoms 

One of the delegates from the HASC project was Dr. Shuangyi Yan (Bristol, Smart Internet Lab) who presented alongside Professor Bruno Clerckx (Professor of Wireless Communications and Signal Processing at Imperial College London). The presentation covered their R&D and collaboration interests in the areas of AI, Machine learning, and network, automation and optimisation. 

After the event, we took the time to reflect on the positive impact this and similar events have on international collaboration and what this enables for the telecoms industry and researchers alike.  

You can watch the interview we conducted with Dr Shuangyi Yan and read the highlights from the discussion below where Dr. Yan shares with us why he believes international collaboration is so important in his field of research.  

About Dr. Shuangyi Yan, BEng, PhD 

Dr. Shuangyi Yan is a Senior Lecturer in High Performance Networking & Optical Networking at the School of Electrical, Electronic and Mechanical Engineering 

Dr. Yan’s work explores future dynamic optical networks that are flexible, reconfigurable, and intelligent. These programmable networks aim to deliver services on demand, using just-enough hardware to maximise efficiency. Two main areas support this vision: AI-driven optical networks and programmable multi-dimensional networks. Using an SDN-based monitoring framework, AI enables smarter network functions. In parallel, he is helping to develop reconfigurable architectures and optical hardware which include architecture-on-demand nodes and bandwidth-programmable transmitters. By integrating TDM (time), WDM (wavelength), and SDM (space) technologies, this research advances a highly adaptable and efficient optical transport system. 

International Collaboration in Telecoms – Interview Summary 

The following is a summary of our Q&A with Dr. Yan. Please note: the content below has been paraphrased and summarised for clarity. For the full conversation, please refer to the video or transcript provided. 

Why is international collaboration important in innovating telecoms? 

Dr Yan tells us that, “international collaboration is essential in telecoms innovation because future communication networks are inherently global.” 

He continues by telling us, that working across borders allows researchers to combine complementary expertise, leading to higher scientific and industrial impact. In this case, integrating optical front-haul networks with the Open RAN ecosystem demands close cooperation between wireless and optical technologies, as well as between academia and industry. Such synergy simply isn’t possible without international collaboration, which reinforces understanding and drives meaningful, large-scale advancements. 

During the event, what kind of conversations were you having? 

“I had some really interesting conversations with researchers and industry partners from across Europe and Asia. What stood out was our shared commitment to building the next-generation network infrastructure. Unlike past incremental improvements, we now need a dramatic shift to meet the demands of emerging technologies like large language models (LLMs). It was encouraging to see a common vision and diverse perspectives coming together. The event also reinforced how important cross-disciplinary collaboration is, and that we need more spaces like this to work together effectively.” 


What opportunities or challenges came up during the discussions?  

“One key opportunity highlighted was the integration of sensing technologies from both wireless and fibre networks. This cross-domain approach could improve network management and enable broader sensing services for users. By combining data from multiple sources, it becomes possible to detect insights that aren’t visible from a single domain alone. This fusion of data opens up exciting applications, particularly for environmental monitoring, and reinforces the value of collaboration across different technologies and sectors.” 

How might international collaboration influence your research? 

International collaboration is already central to Shuangyi’s work and with his team made up of researchers from many backgrounds. He explains that it is this diversity that brings a range of perspectives. This helps the team to approach challenges in a more dynamic and innovative way.  

Within the HASC project, this collaboration enables a unified approach to complex problems, and combines interests across different focus areas, including end-to-end optical and wireless technologies. Shuangyi believes this broad context is essential for addressing future challenges, as it allows for richer understanding and more effective and wide-ranging solutions. 

Where do you see the most potential for future international partnerships?  

Shuangyi told us, he sees great potential for future international partnerships in applying AI to network control and management, especially when combined with emerging hardware technologies.  

Within the HASC project, his research focuses on this area, addressing the challenges posed by large language models while also exploring how AI can enhance efficiency. By enabling greater automation and reducing reliance on expert intervention, AI can help create a more intelligent and responsive network infrastructure.  

As countries approach this in different ways, international collaboration offers valuable opportunities to share insights and accelerate progress in this new challenging field. 

What Should People Know About Attending These Kinds of Events? 

Shuangyi said he believes events like this are valuable because they expose us to fresh ideas and shared challenges, which can spark new ways of thinking. Unlike typical academic conferences, this type of event encourages broader reflection and cross-disciplinary insights. It can lead to solutions you might not otherwise discover within your own field by bringing together diverse expertise. For him, the main benefit is how such events accelerate thinking and inspire integration of new ideas across global perspectives. 


We wish to thank Dr. Shuangyi Yan for his time and extensive insights and The Federated Telecoms Hubs for hosting such an exciting event. You can connect with Dr. Yan here.  

If you enjoy content like this, or if you would like to find out more about the HASC project and stay up to date with news from across the hub, you can sign up for regular updates here. 


Transcript 

CARLA:  So, good morning Shuangyi. Thank you so much for joining us today 

to talk about international collaboration. Perhaps we could start by a quick introduction. If you could briefly introduce yourself and maybe just describe a little bit about your research as well. 

SHUANGYI:  Okay. Good morning. I’m, Doctor Shuangyi Yan, Associate Professor in the  Smart Internet Lab at the University of Bristol. So, my research focuses on mainly on AI, Machine learning, and network, automation and optimisation. 

I’m looking to specialise in optical networks and radio access networks, and I’m looking to special technology regarding, for example, fast optical switching and then with sensing, and AI related topics. So, my particular interest is to build, scalable, resilient and intelligent communication infrastructure for our future, for 6G and beyond. So that’s my research. 

CARLA:  Nice to meet you. Interesting background! Yeah. Thank you. Thanks so much. So, we’re here today to talk about international collaboration. So why do you think international collaboration is so important, especially within your particular field of research? 

SHUANGYI: Yes. For so several weeks ago, I attend this event. The workshop. I do this for the, reinforce my understanding. It is very important if you do, research, especially in my area. You definitely want… not only in, but you also need more wide collaboration. 

So, I’m working on the future communication networks, and they are inherently global. So, the international collaboration enables us to combine not only the complete, complementary expertise and but most important, we can find, we can look at something, that can generate high impact, scientifically and industrially.  

So, this only can be achieved through a collaboration. Cross borders and in my case in this project I try to integrate optical front-haul networks to the Open RAN ecosystem. This requires synergy between wireless and optical communications. And academy and industry partners. 

So, it’s impossible work without collaboration with international partners. 

CARLA:  Yeah. That makes sense. So, a really worthwhile event by the sounds of it. And during the event, what kind of really, I mean, what kind of conversation are we having and, and what particularly stood out for you? 

SHUANGYI: I did have some very interesting discussions. We meet with researchers and industry partners, across Europe and Asia. So, we find that there is a, a shared commitment. 

We are…at the right time to build the next generation network infrastructure. So, this is not like before. We have been, incrementally to make the system better. Now we need to think, dramatically. Because currently we face the challenges from, the large language models and all this, all these new things, these require, new infrastructure. 

So, it’s very good. We share this, the common vision, and we are looking to find a solution from different perspectives. So, and this is also… we find that… it makes me think that really, we need this, more of these kinds of events to collaborate and also, especially cross our own expertise, you know, area. 

CARLA:  Yeah. Fantastic. So, what opportunities or challenges came up during the discussions? And I mean, especially anything that you think you may not have encountered locally or specific to UK? 

SHUANGYI:  Yes. I do notice a very important opportunity that, to integrate, the sensing technology and the sensing can come from the wireless domain with wireless sensing. 

That’s the whole topic and also came from, the current network infrastructure. We talked about a network for sensing using the deployment of fibres. So, this kind of a sensing technology can be integrated. And with this integration, they can provide a more things for you for managing the network. And also, we can provide, a general sensing, capability or service to the different users. 

So, and the applications so we can take more advantage from the current infrastructure and also, these kind of data fusion or multi source of data can help to detect something we cannot see from only one domain. 

So, this is also one big opportunity for this cross-domain collaboration. And we and also this is going to be very useful for looking to our environment and to monitor and the sensing with different technology. 

CARLA:  Yeah. Yeah, that makes sense. And how might international collaboration influence your research in the future do you think?  

SHUANGYI: Yeah. I’m from a, a group that comes from different backgrounds. We come… most of us are international researchers. So it’s a central in our group. We, bring different kinds of perspectives, but we have one we defined, [goal]… to solve our problems with different perspectives, or different background to integrate, to create more dynamic for you to think, to handle, the challenge and to find, ultimate solution and enhance the project. 

Also, this it also we come from a, we come from totally different backgrounds. We are focused on our research. Folks are also different, and we our interests are also quite different. So, with this, in the HASC the project, we can unify and together and we can learn from each other, we can understand a much larger ecosystem. 

Now we are ‘handling’, because we’re not looking to more one specific answer, but we looking to, a not so universal but we are looking from end-to-end optical wireless. And all that kind of technology combined together. 

And, to, to solve our future challenge, I believe this is the only way only, you can have a more wider, context so you can solve the big challenge. So, to that, I think that the collaboration, international collaboration really makes this more effective, and we understand more about the challenge. And we can give the, we can find solutions from different perspectives. And it’s that diversity of perspective of course that kind of feeds into that. 

CARLA:  So where do you see the most potential for future international partnerships? And maybe you can explain why. 

SHUANGYI:  Yeah. I from my, my own, research. I’m very interested at looking into partners to really to bring the AI for network controlling and management and in combining with, the new components and hardware. 

So, the, in the HASC [project], my research is a part of this, this, it’s a part of this, this idea. So, we see, we see there is a… the big, the big challenges from AI large language models. But we also see they can help. We can manage the network more efficiently. So, we don’t…  we can rely less on expertise and using fully using full automation or more intelligent infrastructure. 

So, I believe this is also quiet, a very hot area, different countries are looking at it in different ways. But generally, this way we can make a network, so, it can serve better and a we… Yeah. 

CARLA:  So, there’s both a challenge and an opportunity essentially with AI. 

SHUANGYI: Yes. Yes. 

CARLA:  Yeah. Fantastic. And finally, if someone was unsure about the value of, attending an event like this, what would you say to them? 

SHUANGYI: Yeah, I do attend different kinds of events. I attend the academic, conferences… and I attend this kind of more specific type with a specific target. But I find with this the event we are no clear. What do we want to join? 

So, this and, one benefit, it’s really this kind of event. They really, accelerate your thinking because you are, facing many new information, but you all share the similar, you know, the challenge, so they can intrigue your thinking and, with, with the broader view of this, field or this challenge, and, you can find something… really the solution maybe that you are not able to find in your area. 

But if you look in globally or looking to more broader, you may find, easy solution can combine, several expertise. So, I see that…  to integrate the new ideas and push you to think that’s, it. Very, the, the one benefit of this kind of event.  

CARLA:  Yeah. Fantastic. Well, thank you very much. That’s all been incredibly interesting and some great advice there as well. Thank you very much for your time. And thank you for joining us today. 

SHUANGYI:  Thank you very much. Thank you.