Low Complexity Detection Algorithms Based on ADMIN for Massive MIMO  

作　　者：Shuchao Mi Jianyong Zhang Fengju Fan Baorui Yan Muguang Wang 

机构地区：[1]Institute of Lightwave Technology,Beijing Jiaotong University,Beijing 100044,China [2]Key Lab of All Optical Network and Advanced Telecommunication of EMC,Beijing Jiaotong University,Beijing 100044,China

出　　处：《China Communications》2023年第11期67-77,共11页中国通信（英文版）

基　　金：This work was supported in part by the National Natural Science Foundation of China(NSFC)under grant numbers 61671047,61775015 and U2006217.

摘　　要：This paper proposes the alternating direction method of multipliers-based infinity-norm(ADMIN) with threshold(ADMIN-T) and with percentage(ADMIN-P) detection algorithms,which make full use of the distribution of the signal to interference plus noise ratio(SINR) for an uplink massive MIMO system.The ADMIN-T and ADMIN-P detection algorithms are improved visions of the ADMIN detection algorithm,in which an appropriate SINR threshold in the ADMIN-T detection algorithm and a certain percentage in the ADMIN-P detection algorithm are designed to reduce the overall computational complexity.The detected symbols are divided into two parts by the SINR threshold which is based on the cumulative probability density function(CDF) of SINR and a percentage,respectively.The symbols in higher SINR part are detected by MMSE.The interference of these symbols is then cancelled by successive interference cancellation(SIC).Afterwards the remaining symbols with low SINR are iteratively detected by ADMIN.The simulation results show that the ADMIIN-T and the ADMIN-P detection algorithms provide a significant performance gain compared with some recently proposed detection algorithms.In addition,the computational complexity of ADMIN-T and ADMIN-P are significantly reduced.Furthermore,in the case of same number of transceiver antennas,the proposed algorithms have a higher performance compared with the case of asymmetric transceiver antennas.

关 键 词：ADMIN low complexity detection algo-rithm massive MIMO MMSE SINR 

分 类 号：TN929.5[电子电信—通信与信息系统]