Beyond Cell-Free MIMO: Energy Efficient Reconfigurable Intelligent Surface Aided Cell-Free MIMO Communications

被引:107
作者
Zhang, Yutong [1 ]
Di, Boya [2 ]
Zhang, Hongliang [3 ]
Lin, Jinlong [4 ]
Xu, Chenren [5 ]
Zhang, Daqing [5 ]
Li, Yonghui [6 ]
Song, Lingyang [1 ]
机构
[1] Peking Univ, Dept Elect, Beijing 100871, Peoples R China
[2] Imperial Coll London, Dept Comp, London SW7 2BU, England
[3] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA
[4] Peking Univ, Sch Software & Microelect, Beijing 100871, Peoples R China
[5] Peking Univ, Dept Comp Sci & Technol, Beijing 100871, Peoples R China
[6] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia
基金
中国国家自然科学基金;
关键词
Reconfigurable intelligent surface; cell-free; MIMO; hybrid beamforming; energy efficiency; FREE MASSIVE MIMO; BEAMFORMING DESIGN; CHANNEL ESTIMATION; PART I; OPTIMIZATION;
D O I
10.1109/TCCN.2021.3058683
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Cell-free systems can effectively eliminate the inter-cell interference by enabling multiple base stations (BSs) to cooperatively serve users without cell boundaries at the expense of high costs of hardware and power sources due to the large-scale deployment of BSs. To tackle this issue, the low-cost reconfigurable intelligent surface (RIS) can serve as a promising technique to improve the energy efficiency of cell-free systems. In this article, we consider an RIS aided cell-free MIMO system where multiple RISs are deployed around BSs and users to create favorable propagation conditions via reconfigurable reflections in a low-cost way, thereby enhancing cell-free MIMO communications. To maximize the energy efficiency, a hybrid beamforming (HBF) scheme consisting of the digital beamforming at BSs and the RIS-based analog beamforming is proposed. The energy efficiency maximization problem is formulated and an iterative algorithm is designed to solve this problem. The impact of the transmit power, the number of RIS, and the RIS size on energy efficiency are investigated. Both theoretical analysis and simulation results reveal that the optimal energy efficiency depends on the numbers of RISs and the RIS size. Numerical evaluations also show that the proposed system can achieve a higher energy efficiency than conventional ones.
引用
收藏
页码:412 / 426
页数:15
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