{"title":"Analyzing Energy Efficiency Trade-Offs in RIS Aided Cell-Free Massive MIMO Networks","authors":"Debajit Choudhury;Abhay Kumar Sah","doi":"10.1109/TVT.2025.3544774","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":13421,"journal":{"name":"IEEE Transactions on Vehicular Technology","volume":"74 7","pages":"11512-11517"},"PeriodicalIF":7.1000,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Vehicular Technology","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10899875/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
The scope of the Transactions is threefold (which was approved by the IEEE Periodicals Committee in 1967) and is published on the journal website as follows: Communications: The use of mobile radio on land, sea, and air, including cellular radio, two-way radio, and one-way radio, with applications to dispatch and control vehicles, mobile radiotelephone, radio paging, and status monitoring and reporting. Related areas include spectrum usage, component radio equipment such as cavities and antennas, compute control for radio systems, digital modulation and transmission techniques, mobile radio circuit design, radio propagation for vehicular communications, effects of ignition noise and radio frequency interference, and consideration of the vehicle as part of the radio operating environment. Transportation Systems: The use of electronic technology for the control of ground transportation systems including, but not limited to, traffic aid systems; traffic control systems; automatic vehicle identification, location, and monitoring systems; automated transport systems, with single and multiple vehicle control; and moving walkways or people-movers. Vehicular Electronics: The use of electronic or electrical components and systems for control, propulsion, or auxiliary functions, including but not limited to, electronic controls for engineer, drive train, convenience, safety, and other vehicle systems; sensors, actuators, and microprocessors for onboard use; electronic fuel control systems; vehicle electrical components and systems collision avoidance systems; electromagnetic compatibility in the vehicle environment; and electric vehicles and controls.