Cell-Free Massive MIMO for Future Wireless Networks
Lead Research Organisation:
University of Surrey
Department Name: Institute of Communications Systems
Abstract
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.
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.
Publications
Chu Z
(2024)
Joint ITS- and IRS-Assisted Cell-Free Networks
in IEEE Wireless Communications Letters
Chu Z
(2023)
Multi-IRS Assisted Multi-Cluster Wireless Powered IoT Networks
in IEEE Transactions on Wireless Communications
Chu Z
(2023)
IRS-Assisted Wireless Powered IoT Network With Multiple Resource Blocks
in IEEE Transactions on Communications
Du W
(2023)
STAR-RIS Assisted Wireless Powered IoT Networks
in IEEE Transactions on Vehicular Technology
Du W
(2023)
Hybrid Beamforming Design for ITS-Assisted Wireless Networks
in IEEE Wireless Communications Letters
Fang S
(2024)
Intelligent Omni Surface-Assisted Self-Interference Cancellation for Full-Duplex MISO System
in IEEE Transactions on Wireless Communications
Goudarzi S
(2024)
Sustainable Edge Node Computing Deployments in Distributed Manufacturing Systems
in IEEE Transactions on Consumer Electronics
Gui Y
(2025)
Codebook Design for SCMA-Assisted Visible Light Communication With Shot Noise
in IEEE Transactions on Vehicular Technology
Huang C
(2024)
Joint Offloading and Resource Allocation for Hybrid Cloud and Edge Computing in SAGINs: A Decision Assisted Hybrid Action Space Deep Reinforcement Learning Approach
in IEEE Journal on Selected Areas in Communications
| Description | Collaboration with KTH (Sweden) on the project Sensing Integrated Elastic 6G Networks for Sustainability (6G-SUSTAIN) |
| Organisation | Kunliga Tekniska Hoegskolan |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | I and my research team have contributed to the proposal writing. |
| Collaborator Contribution | Our partner in KTH initiated this collaboration and played a leading role in the funding application, and the project is sponsored by Vinnova, the Swedish government funding agency. |
| Impact | The joint project has just started, we have submitted a joint research paper "Resource Allocation in Cell-Free-Enabled MEC Networks: A Multi-Level Hierarchical MADRL-Based Algorithm" to an IEEE Journal. |
| Start Year | 2025 |
| Description | 6GIC-CLICK Workshop on Green Communications |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Energy-efficient communications, often referred to as green communications, is a concept that focuses on designing and implementing communication systems and networks in a way that minimizes energy consumption and reduces the environmental impact associated with wireless networks. In the context of future communication technologies like 6G, emphasizing energy efficiency becomes even more critical due to the anticipated growth in data traffic and the deployment of numerous connected devices. Designing 6G networks with a strong focus on energy efficiency is essential to address the operational, economic, and environmental challenges associated with the continued expansion of communication technologies. In this workshop, we delved into the potential of Green Communications for the future of communication networks. This event offered a unique opportunity to stay abreast of the latest advancements in this field and to contribute to its future development. The participants of this event included researchers and professionals at the forefront of creating more environmentally friendly communication networks that reduce the carbon footprint, improve efficiency, and allow communication technology to support global climate goals and net-zero strategies. With our collective efforts, we aim to shape the future development of energy-efficient, sustainable network technologies. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://www.youtube.com/watch?v=rUmSX5QOlDw&list=PLlVZ6vn-g5xZiLWVVXpJ3Q0dVdfoakZCB&index=5 |
