Geometric Mean Decomposition Based Hybrid Precoding for Millimeter-Wave Massive MIMO

作     者：Tian Xie Linglong Dai Xinyu Gao Muhammad Zeeshan Shakir Jianjun Li 

作者机构：Tsinghua National Laboratory for Information Science and Technology (TNList) Department of Electronic Engineering Tsinghua University School of Engineering and Computing University of the West Scotland (UWS) The School of Electric and Information Engineering Zhongyuan University of Technology 

基　　金：supported by the National Natural Science Foundation of China for Outstanding Young Scholars (Grant No. 61722109) the National Natural Science Foundation of China (Grant No. 61571270) the Royal Academy of Engineering through the UK–China Industry Academia Partnership Programme Scheme (Grant No. UK-CIAPP\49) 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2018年第15卷第5期

页      码：229-238页

摘      要：Hybrid precoding can reduce the number of required radio frequency(RF)chains in millimeter-Wave(mmWave) massive MIMO systems. However, existing hybrid precoding based on singular value decomposition(SVD) requires the complicated bit allocation to match the different signal-to-noise-ratios(SNRs) of different sub-channels. In this paper,we propose a geometric mean decomposition(GMD)-based hybrid precoding to avoid the complicated bit allocation. Specifically,we seek a pair of analog and digital precoders sufficiently close to the unconstrained fully digital GMD precoder. To achieve this, we fix the analog precoder to design the digital precoder, and vice versa. The analog precoder is designed based on the orthogonal matching pursuit(OMP) algorithm, while GMD is used to obtain the digital precoder. Simulations show that the proposed GMD-based hybrid precoding achieves better performance than the conventional SVD-based hybrid precoding with only a slight increase in complexity.

主 题 词：MIMO 混合 分解 波浪 几何 设计算法 位分配 模拟 

学科分类：0810[工学-土木类] 0808[工学-自动化类] 0809[工学-计算机类] 0839[0839] 08[工学] 081001[081001] 0812[工学-测绘类] 

核心收录：

D　O　I：10.1109/CC.2018.8388000

馆 藏 号：203289848...