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.

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

From this point, our research is exploring how networks can then make decisions about which communication channel to prioritise. 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. Work to achieve this includes the use of digital twins and AI based decision making, given the complexity of the decisions that must be made and the dynamic nature of these.

Energy Efficiency

Energy efficiency is another key consideration in the C2 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.

User Experience

Finally, the Adaptivity challenge also explores the human aspect of network use, tailoring communication systems to provide the best possible experience for users.

Through demonstrations of these advanced connectivity techniques, this challenge aims to provide a blueprint for future communication networks that can flexibly adapt to different environments and user requirements, ensuring optimal performance and paving the way for next-generation all-spectrum connectivity.