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Resource allocation for pilot-assisted massive MIMO transmission

查看全文 作　　者：Yun [1]XUE;Jun [2]ZHANG;Xiqi [1]GAO 高影响力作者 机构地区：[1]School of Information Science and Engineering, Southeast University;[2]College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications高影响力机构 出　　处：《Science China(Information Sciences)》索引2017年第60卷第4期,共13页高影响力期刊 基　　金：supported by National High-tech R&D Program of China (863) (Grant Nos. 2015AA011305, 2014AA01A704);National Natural Science Foundation of China (Grant Nos. 61320106003, 61521061);National Science and Technology Major Project of China (Grant No. 2015ZX03001035-002);Program for Jiangsu Innovation Team, Natural Science Foundation through the Jiangsu Higher Education Institutions of China (Grant No. 15KJB510025);Natural Science Foundation Program through Jiangsu Province of China (Grant No. BK20150852) 摘　　要：This paper is on the resource allocation problem for pilot-assisted multi-user massive multipleinput-multiple-output(MIMO) uplink with linear minimum mean-squared error(MMSE) channel estimation and detection. We utilize the angular domain channel representation for uniform linear antenna arrays, and adopt its equivalent independent and nonidentical distributed channel model. For a given coherence interval and total energy budget, we study the joint optimization of the training length and the training power to maximize the achievable sum-rate. For tractable analysis and low-complexity solution, a tight approximation on the achievable sum-rate is derived first. Then the training length optimization for fixed training power and the training power optimization for fixed training length with respect to the approximate sum-rate maximization are both shown to be concave. An alternative optimization that solves the training length and power iteratively is proposed for the joint resource allocation. In addition, for the special case that the training and data transmission powers are equal, we derive the optimal training lengths for both high and low signal-to-noiseratio(SNR) regions. Numerical results show the tightness of the derived sum-rate approximation and also the significant performance advantage of the proposed resource allocation. 关 键 词：资源分配问题 MIMO 导频辅助 数据传输 线性最小均方误差 联合优化 功率优化 多输入多输出
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