| EPSRC Reference: |
EP/X013162/1 |
| Title: |
Cell-Free Massive MIMO for Future Wireless Networks |
| Principal Investigator: |
Xiao, Professor P |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Institute of Communications Systems |
| Organisation: |
University of Surrey |
| Scheme: |
Standard Research |
| Starts: |
01 April 2023 |
Ends: |
31 March 2026 |
Value (£): |
571,066
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| EPSRC Research Topic Classifications: |
| Networks & Distributed Systems |
RF & Microwave Technology |
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| EPSRC Industrial Sector Classifications: |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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20 Sep 2022
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EPSRC ICT Prioritisation Panel September 2022
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Announced
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Summary on Grant Application Form |
To support a wide range of envisioned applications, including autonomous vehicles, the Internet of Things, and immersive technologies, future wireless technologies must meet demanding requirements for higher spectral and energy efficiency, lower end-to-end latency and massive connectivity as well as uniform user experience. Given the constraints on the available resources, the current inflexible, network-centric cellular networks cannot fulfil those disparate performance objectives. Even in massive MIMO cellular systems there remains an inherent bottleneck for cell-edge users.
The recently emerged cell-free massive MIMO (CF-mMIMO) concept is a game changer and represents a paradigm shift in the network architecture. In CF-mMIMO, cell boundaries are removed by distributing a large number of centrally connected access points over a wide service area: the resulting global network becomes fully user-centric and flexible. This provides important potential benefits, including: 1) high quality uniform user experience due to the user-centric approach; 2) superior spectral and energy efficiency through joint processing; 3) reduced latency due to distributed processing; 4) exceptional coverage probability due to distributed access points.
However, there are key challenges that need to be addressed to realise these underlying benefits of CF-MaMIMO. These challenges constitute major obstacles to keep CFmMIMO from being practically deployable. This research project aims to address those fundamental challenges. The proposed techniques will transform CF-MaMIMO into a fully user-centric, scalable, flexible system to embrace emerging AI-empowered technologies. This will enable CF-MaMIMO to support the wide range of envisioned applications in 6G and beyond. This project will benefit from strong industrial support from BT and ZTE as well as from world-leading international advisory group.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.surrey.ac.uk |