How effective have market mechanisms been in enabling efficient and effective use of spectrum, compared to the objectives when they were introduced? How do the UK’s spectrum allocation mechanisms compare to the rest of the world? What best practices for allocation can be adopted in the UK?

Background

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.

Next steps

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Source

This question was published as part of the set of ARIs in this document:

DSIT Areas of Research Interest 2024 GOV UK

Related UKRI funded projects


  • Enabling Affordable Internet Access with Dynamic Spectrum Management and Software Defined Radio

    This project aims to investigate how the use of dynamic spectrum access (DSA) management and geo-location database technology, combined with software defined radio (SDR) implementations may be used to enable effective an...

    Funded by: GCRF

    Lead research organisation: University of Strathclyde

    Why might this be relevant?

    This project investigates dynamic spectrum access management and software-defined radio to enable efficient wireless networks, aligning with the question's focus on spectrum allocation mechanisms and future technology deployment.

  • Radio Resource Allocation for Multi User Spectrum Sharing with Parameter Uncertainty

    Spectrum sharing (SpS) technology has continued to develop since its introduction as an alternative spectrum management policy by the US's Federal Communication Commission (FCC) in 2002. Radio resource allocation (RRA) i...

    Funded by: EPSRC

    Lead research organisation: University of Leeds

    Why might this be relevant?

    This project addresses radio resource allocation challenges in spectrum sharing, partially relevant to the question's focus on spectrum allocation mechanisms.

  • Innovative RF Awareness platform based on SDR and AI Technologies

    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

    Why might this be relevant?

    This project develops an RF awareness platform using SDR and AI technologies for spectrum management, partially relevant to the question's focus on spectrum allocation mechanisms.

  • Seamless and Adaptive Wireless Access for Efficient Future Networks (SERAN)

    Wireless communications is becoming a pervasive technology that we use throughout our lives. Across society, there is a move away from using the internet on desktop computers and towards mobile phones, laptops and tablet...

    Funded by: EPSRC

    Lead research organisation: University of Edinburgh

  • RC3: Robust Cognitive Cooperative Communications

    According to the Ofcom's Digital Dividend report in 2007, spectrum is limited only because they are seriously underutilised due to rigid and inefficient management. It was reported that over 90% of locations could have a...

    Funded by: EPSRC

    Lead research organisation: University College London