For the deployment of current and future technologies, DI wishes to develop a stronger evidence base around the benefits of and barriers to their deployment, with a focus on the adoption of 5G and open network infrastructure to build the resilience of networks and support innovation. DI needs to develop models and techniques to understand efficient spectrum allocation and understand the issues surrounding the use of specific spectrum bands.
DI needs to better understand the trends around technological convergence, future demand for digital connectivity, regulation around access to the internet and emerging cloud services and their impact on security.
DI wishes to complement its understanding of current technology deployment with research into the work driving future technologies to develop and increase the UK’s future capabilities.
All of this needs to be underpinned by further research into the security and resilience of UK networks, addressing future developments and threats, gaining insight into the value of security interventions and barriers to investment in security.
If you are keen to register your interest in working and connecting with DSIT Digital Technology and Telecoms Group and/or submitting evidence, then please complete the DSIT-ARI Evidence survey - https://dsit.qualtrics.com/jfe/form/SV_cDfmK2OukVAnirs.
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This question was published as part of the set of ARIs in this document:
The project endeavours to develop an innovative platform for real-time spectrum sensing that synthesizes state-of-the-art Software-Defined Radio (SDR) technologies with advanced Artificial Intelligence (AI) algorithm mod...
Funded by: Innovate UK
Lead research organisation: CHAKANA SOLUTIONS LTD
The project focuses on developing an innovative platform for real-time spectrum sensing using AI and SDR technologies, directly addressing spectrum management and efficiency.
To satisfy the expected plethora of demanding services, 6G is envisioned as a revolutionary paradigm to carry forward the capacities of enhanced broadband, massive access, and Ultra-reliable and low latency services in 5...
Funded by: Horizon Europe Guarantee
Lead research organisation: University of Essex
The project specifically addresses the use of AI for secure and intelligent massive machine-to-machine communication in the context of future wireless networks, aligning with the question's focus on AI in spectrum regulation.
Wireless access is an essential to the networks that underpin modern life, providing communications for people, vehicles, machines, infrastructure, and the wide variety of devices that will make up the Internet of Things...
Funded by: EPSRC
Lead research organisation: University of Bristol
The SWAN project aims to develop secure wireless agile networks, including research on RF cyber detection and defense, which directly relates to the question's focus on security and resilience in network management.