Adaptivity

As global connectivity expands and diversifies, communication networks must be capable of dynamically adjusting their configurations based on real-time conditions, user requirements, and available resources. This challenge explores how to best integrate fibre and wireless technologies, ensuring that future networks are agile and flexible enough to handle fluctuating demands, such as those seen in smart cities, autonomous transportation systems, and industrial IoT applications.

One of the central goals of this challenge is to develop networks that can intelligently assess when to use wired communication (such as fibre optics) and when to switch to wireless spectrum, like RF or THz bands. The integration of these two modes of communication requires new techniques and technologies that can create an agile interface between wired and wireless domains, allowing seamless transitions depending on the context. For example, in a busy urban environment, a communication system may rely on high-speed fibre optics for stable, high-bandwidth applications, while wireless connectivity might take over when users are mobile, ensuring continuous service. This adaptivity becomes crucial as we move towards ultra-fast communication systems like 6G, where both wired and wireless resources must be optimized together for maximum efficiency.

The University of Bristol’s work in this challenge involves developing algorithms and network architectures that can adapt to real-world scenarios. Researchers are exploring how networks can monitor factors such as congestion, bandwidth availability, interference, and energy consumption, and then make split-second decisions about which communication channel to prioritize. This real-time adaptivity will not only improve performance but also enhance network resilience, making systems more robust in the face of disruptions or changing conditions. For instance, in 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.

Energy efficiency is another key consideration in this challenge. Adaptive networks must be designed to minimize energy consumption while maximizing performance, especially as the demand for data and connectivity continues to rise globally. This will require novel approaches to power management in both wired and wireless networks, ensuring that systems remain sustainable even as they scale up to meet future needs.

Finally, the Adaptivity challenge also explores the human aspect of network use, tailoring communication systems to provide the best possible experience for users. By creating networks that can respond to users’ mobility, location, and data requirements, the work of the C2 challenge will contribute to a more personalized and efficient communication landscape. This adaptivity will be essential in ensuring that the future of connectivity is not only fast and reliable but also responsive and energy-conscious.