大规模MIMO系统能效优化算法研究综述

Energy efficiency optimization algorithm in massive MIMO systems: a survey

随着移动用户数与高速数据业务应用的快速增长,满足下一代网络更高频效和能效需求的大规模多输入多输出(multiple-input multiple-output,MIMO)技术成为5G的研究热点.天线数目的增加,导致大规模MIMO系统的能耗也将急剧增加.优化大规模MIMO系统能效以实现绿色通信成为5G资源管理的一项重要研究课题.针对该问题,对大规模MIMO能效优化算法进行了综述与展望.介绍了大规模MIMO系统能效模型,综述了大规模MI-MO系统能效优化算法研究现状,包括基于天线选择的能效优化、基于功率分配的能效优化、频效和能效的折中和多参数联合优化能效;探讨了学术界在大规模MIMO系统能效优化算法上的重要研究成果;总结了当前研究中存在的主要问题,展望了大规模MIMO系统能效优化未来的研究趋势.

With the rapid growth of mobile subscribers and high speed data service applications massive multiple input multiple output(MIMO)technology has been the research hotspot of 5G to meet the demand for higher spectrum efficiency and energy efficiency for the next generation networks.With the increase of the number of antennas the energy consumption of massive MIMO systems also increases sharply.Energy efficiency optimization for massive MIMO systems has become an important research topic of 5G resource management to achieve green networks.To address this problem we present a sur vey and open research issues of energy optimization in massive MIMO systems.This paper first introduces the energy effi ciency model in massive MIMO systems then summarizes the state of art research and development in energy efficiency op timization algorithms for massive MIMO including energy efficient optimization based on antenna selection power alloca tion the tradeoff between spectrum efficiency and energy efficiency and multi parameter joint energy efficiency optimiza tion.Next it explores the important research results of academia in the energy efficiency optimization algorithm in massive MIMO systems.Finally we summarize the main problems in current research and discuss the future research directions in energy efficiency optimization for massive MIMO systems.