基于预编码与导频分配的大规模MIMO导频污染抑制  

Pre-coding and Pilot Assignment Based Pilot Contamination Reduction in Massive MIMO Systems

作　　者：闫冰冰[1] 龙恳[1] 刘志红[1] 刘月贞 

机构地区：[1]重庆邮电大学无线通信网技术创新团队,重庆400065

出　　处：《电讯技术》2017年第8期938-943,共6页Telecommunication Engineering

摘　　要：导频污染问题是限制大规模多输入多输出(MIMO)系统性能的主要影响因素。针对这个问题,提出了一种基于改进预编码和最优导频分配策略的大规模MIMO系统导频污染抑制算法。首先,在系统下通过基于改进遗传优化算法的最大化信干噪比(SINR)预编码算法,获得最优预编码矩阵;然后,通过基于用户信道条件优劣的最优导频分配策略对每个小区用户进行导频分配,从而实现大规模MIMO系统导频污染抑制。通过Matlab仿真结果可知,相对于传统的SINR预编码算法,所提算法的复杂度降低了65%左右,而导频污染抑制性能提升了30%左右。该算法能够有效抑制导频污染,提升大规模MIMO系统的性能。The problem of pilot contamination is the main factor influencing the performance of massive multiple-input multiple-output（ MIMO） systems. For this problem,this paper proposes a pilot contamina-tion reduction algorithm based on a new pre-coding method and optimal pilot distribution strategy. Firstly, for the massive MIMO system,the optimal pre-coding matrix is obtained with the maximum signal-to-in-terference plus noise ratio（MAX-SINR） based on improved genetic algorithm（GA）. Then,according to the channel condition of users and the optimal pilot distribution strategy,pilot contamination reduction of massive MIMO system is realized. Matlab simulation results show that the algorithm＆#39; s complexity is re-duced by 65% and performance increases about 30% than the traditional SINR algorithm. Therefore,the proposed algorithm can effectively reduce the pilot contamination in massive MIMO systems.

关 键 词：大规模MIMO 导频污抑制 预编码 导频分配 

分 类 号：TN919.3[电子电信—通信与信息系统]