Modelling & Measurement
This challenge, led by Oxford University, focuses on developing a holistic model of connectivity that includes both wired and wireless communication systems.
Modelling
Traditionally, wired and wireless networks have been treated as separate entities, each optimised individually for specific use cases. This challenge addresses the need for a theoretical and practical framework that can accommodate the dynamic and diverse nature of these evolving technologies.
Work includes channel modelling across RF and Optical Wireless domains, as well as the switching between different technologies as users move within coverage areas. This is supported by work on adaptivity and the use of AI within challenge C2.
Measurements
This modelling work is supported by a range of measurements in the RF (considering frequencies from <10GHz to >500GHz) and the optical spectrum. Data from these measurements is used to inform standardisation, improve models and understand the security aspects of wireless communications. A key goal is to understand dynamic spectrum allocation, which combines demand, channel characteristics and decision making. AI plays a role in this and is part of the adaptivity challenge C2.
Overall, by establishing an understanding of how to jointly optimise wired and wireless connectivity, this challenge supports work for the other three challenges:
A robust model will enable the development of more resilient and adaptable communication systems.
