一种实用的毫米波大规模MIMO混合预编码算法

发布时间：2018-02-22 17:41

本文关键词： 毫米波通信大规模MIMO 混合预编码鸟群算法　出处：《电子与信息学报》2017年08期 　论文类型：期刊论文

【摘要】：数字模拟混合预编码可以用较少的射频逼近全数字预编码的性能,可以用来解决毫米波大规模MIMO系统中由于射频链路过多造成的硬件损耗和校准问题。为解决传统混合预编码结构难以实现的缺点,该文的混合预编码研究基于一种简单的固定子连接结构。推导了系统可达速率最大,模拟预编码矩阵应满足的条件,从而将混合预编码矩阵设计问题转化为优化问题。采用鸟群算法(BSA)解决此优化问题,求得最优的预编码矩阵。针对模拟移相器分辨率有限的情况,提出一种直接量化的解决方案和一种基于改进的离散BSA的解决方案。仿真结果表明,所提算法能够基于简单结构实现较好的性能;移相器分辨率有限情况下,所提的两种解决方案都是有效的,且基于离散BSA的方案在分辨率较低时性能更优。
[Abstract]:Digital analog hybrid precoding can approximate the performance of full digital precoding with less RF. It can be used to solve the problem of hardware loss and calibration caused by too many RF links in millimeter-wave large-scale MIMO systems. In this paper, the hybrid precoding is based on a simple fixed sub-connection structure. The conditions of the maximum reachability rate of the system and the requirements of the analog precoding matrix are derived. Thus, the mixed precoding matrix design problem is transformed into an optimization problem. The bird swarm algorithm (BSA) is used to solve the optimization problem, and the optimal precoding matrix is obtained. In view of the limited resolution of the analog phase shifter, A direct quantization solution and a solution based on improved discrete BSA are proposed. The simulation results show that the proposed algorithm can achieve better performance based on simple structure, and the phase shifter has limited resolution. Both of the proposed solutions are effective, and the discrete BSA based scheme has better performance when the resolution is low.
【作者单位】：空军工程大学航空航天工程学院;
【基金】：国家自然科学基金(61472442)~~
【分类号】：TN919.3;TN928

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