Cell-Free Massive MIMO for Future Wireless Networks

面向未来无线网络的无蜂窝大规模 MIMO

• 批准号: EP/X013162/1
• 负责人: Pei Xiao
• 金额: $ 72.77万
• 依托单位: University of Surrey
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX013162%2F1
• 关键词: Cell; Free; Massive; MIMO; Future

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.

为了支持各种设想的应用，包括自动驾驶汽车、物联网和沉浸式技术，未来的无线技术必须满足更高的频谱和能源效率、更低的端到端延迟和大规模连接以及统一的苛刻要求。用户体验。考虑到可用资源的限制，当前不灵活的、以网络为中心的蜂窝网络无法实现这些不同的性能目标。即使在大规模 MIMO 蜂窝系统中，小区边缘用户仍然存在固有的瓶颈。最近出现的无蜂窝大规模 MIMO (CF-mMIMO) 概念改变了游戏规则，代表了网络架构的范式转变。在CF-mMIMO中，通过在广泛的服务区域分布大量集中连接的接入点来消除小区边界：由此产生的全球网络变得完全以用户为中心且灵活。这提供了重要的潜在好处，包括：1）由于以用户为中心的方法而提供高质量的统一用户体验； 2）通过联合处理实现卓越的光谱和能量效率； 3）由于分布式处理减少了延迟； 4) 分布式接入点带来的异常覆盖概率。然而，要实现 CF-MaMIMO 的这些潜在优势，还需要解决一些关键挑战。这些挑战构成了 CFmMIMO 实际部署的主要障碍。该研究项目旨在解决这些基本挑战。所提出的技术将把 CF-MaMIMO 转变为一个完全以用户为中心、可扩展、灵活的系统，以拥抱新兴的人工智能技术。这将使 CF-MaMIMO 能够支持 6G 及更高版本的广泛设想应用。该项目将受益于英国电信、中兴通讯以及全球领先的国际咨询集团的强大产业支持。

项目成果

Uniform-Distributed Constellation Codebook Design for High-Capacity Visible Light Communications

• DOI: 10.1109/lcomm.2023.3316453
• 发表时间: 2023-11
• 期刊: IEEE Communications Letters
• 作者: Lisu Yu;Jiajia Qian;Yiming Gui;Zilong Liu;Pei Xiao;Yuhao Wang;Zhenghai Wang

Deep Reinforcement Learning-Based Sum Rate Fairness Trade-Off for Cell-Free mMIMO

• DOI: 10.1109/tvt.2022.3230041
• 发表时间: 2023-05
• 期刊: IEEE Transactions on Vehicular Technology
• 影响因子: 6.8
• 作者: M. Rahmani;M. Bashar;M. Dehghani;A. Akbari;Pei Xiao;R. Tafazolli;M. Debbah

Multi-IRS Assisted Multi-Cluster Wireless Powered IoT Networks

• DOI: 10.1109/twc.2022.3228017
• 发表时间: 2023-07
• 期刊: IEEE Transactions on Wireless Communications
• 影响因子: 10.4
• 作者: Zheng Chu;Pei Xiao;D. Mi;Wanming Hao;Yue Xiao;Lie-liang Yang

Sustainable Edge Node Computing Deployments in Distributed Manufacturing Systems

• DOI: 10.1109/tce.2023.3328949
• 发表时间: 2024-02
• 期刊: IEEE Transactions on Consumer Electronics
• 影响因子: 4.3
• 作者: Shidrokh Goudarzi;Seyed Ahmad Soleymani;M. Anisi;Anish Jindal;Fateme Dinmohammadi;Pei Xiao

Energy-Efficient Task Offloading in RIS-Aided HetNets With Wireless Backhaul

• DOI: 10.1109/lcomm.2023.3299380
• 发表时间: 2023-09
• 期刊: IEEE Communications Letters
• 作者: Li Zhang;Jinping Niu;Yiyao Wang;Gaojie Chen;Tao Gu;Yanyan Li