Analyzing Energy Efficiency Trade-Offs in RIS Aided Cell-Free Massive MIMO Networks

被引：0

作者：

Choudhury, Debajit ^{[1
]}

Sah, Abhay Kumar ^{[1
]}

机构：

[1] Indian Inst Technol Roorkee, Dept Elect & Commun Engn, Roorkee 247667, India

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2025年 / 74卷 / 07期

关键词：

Reconfigurable intelligent surfaces; Channel estimation; Uplink; Energy efficiency; Power demand; Decoding; Symbols; Interference; Vectors; Signal to noise ratio; cell-free massive MIMO; spectral efficiency; energy efficiency; access point;

D O I：

10.1109/TVT.2025.3544774

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Cell-free massive multiple-input multiple-output (CF-mMIMO) network allows multiple access points (APs) to serve users with no cell boundaries. This helps in serving a large number of users with a uniform quality of service (QoS). However, the large-scale deployment of such a network results in poor energy efficiency (EE) and higher deployment cost. Recently, reconfigurable intelligent surfaces (RISs) are being considered to improve the energy efficiency of the CF-mMIMO network. In this work, we investigate the extent to which the EE can be improved by varying the proportions of APs and RISs in the network. We analyze the trade-offs for the centralized and distributed processing schemes under a generic power consumption model and quantify the optimal number of APs and RISs required. Results unveil that the RIS aided CF-mMIMO can significantly enhance the EE gains if the APs and RISs are employed in an optimal proportion.

引用

页码：11512 / 11517

页数：6

共 15 条

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