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大规模MIMO系统预编码算法研究 被引量:1

Research on the Precoding Algorithms for Massive MIMO Systems
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摘要 大规模MIMO技术是近年来移动通信领域的研究热点,它能够在传统MIMO的基础上,进一步提升信道容量和频谱效率。由导频复用引起的导频污染,是大规模MIMO技术中的关键性限制因素,下行链路预编码是减轻导频污染的研究方向之一。基于此,本文对大规模MIMO系统中现有的几种预编码算法进行了综述,重点介绍了MF预编码和ZF预编码算法,推导了两种算法的SINR和系统容量的表达式,并给出仿真结果。 Massive MIMO is a research hotspot in the field of mobile communications in recent years.It can further enhance channel capacity and spectrum efficiency on the basis of traditional MIMO.Pilot contamination caused by pilot multiplexing is the key limiting factor in massive MIMO,and downlink precoding is one of the research directions to reduce pilot contamination.Based on this,this paper summarizes several existing precoding algorithms in large scale MIMO system,focusing on MF precoding and ZF precoding algorithm,derives the expression of the SINR expression and system capacity of the two algorithms,and gives the simulation results.
作者 柴璐璐 CHAI Lu-lu(School of Information Engineering,Communication University of China,Beijing 100024,China)
出处 《中国传媒大学学报(自然科学版)》 2018年第4期69-73,共5页 Journal of Communication University of China:Science and Technology
关键词 大规模MIMO 导频污染 预编码算法 系统容量 massive MIMO pilot contamination precoding algorithm system capacity
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