Hybrid precoding method for mmWave massive MIMO systems based on LFM

Analog-digital hybrid precoding is a key technology for millimeter wave massive MIMO systems that reduce hardware costs while balancing system performance.However,the traditional hybrid precoding scheme often needed to find a suitable codebook for precoding,and some codebooks were not easy to obtain...

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Main Authors: Haoyi CHEN, Yifan DING, Ying CHENG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2019-06-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019069/
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author Haoyi CHEN
Yifan DING
Ying CHENG
author_facet Haoyi CHEN
Yifan DING
Ying CHENG
author_sort Haoyi CHEN
collection DOAJ
description Analog-digital hybrid precoding is a key technology for millimeter wave massive MIMO systems that reduce hardware costs while balancing system performance.However,the traditional hybrid precoding scheme often needed to find a suitable codebook for precoding,and some codebooks were not easy to obtain or had deviations in actual situations.An analog-digital hybrid precoding method based on latent factor model (LFM) in machine learning without codebook was proposed for this problem.The LFM decomposition and stochastic gradient descent method were used to approximate the designed precoding matrix to the optimal full digital precoding matrix for good performance.The simulation results show that compared with the hybrid precoding design method based on orthogonal matching pursuit (OMP) algorithm,this method not only does not need a codebook,but also has better performance than the hybrid precoding algorithm based on OMP algorithm,which is closer to optimal full digital precoding method.
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institution Kabale University
issn 1000-0801
language zho
publishDate 2019-06-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-bfc0cc9eadd24be7880c31d2dccc43f22025-01-15T03:02:46ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012019-06-0135899559589406Hybrid precoding method for mmWave massive MIMO systems based on LFMHaoyi CHENYifan DINGYing CHENGAnalog-digital hybrid precoding is a key technology for millimeter wave massive MIMO systems that reduce hardware costs while balancing system performance.However,the traditional hybrid precoding scheme often needed to find a suitable codebook for precoding,and some codebooks were not easy to obtain or had deviations in actual situations.An analog-digital hybrid precoding method based on latent factor model (LFM) in machine learning without codebook was proposed for this problem.The LFM decomposition and stochastic gradient descent method were used to approximate the designed precoding matrix to the optimal full digital precoding matrix for good performance.The simulation results show that compared with the hybrid precoding design method based on orthogonal matching pursuit (OMP) algorithm,this method not only does not need a codebook,but also has better performance than the hybrid precoding algorithm based on OMP algorithm,which is closer to optimal full digital precoding method.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019069/LFMmillimeter wavemassive MIMOhybrid precoding
spellingShingle Haoyi CHEN
Yifan DING
Ying CHENG
Hybrid precoding method for mmWave massive MIMO systems based on LFM
Dianxin kexue
LFM
millimeter wave
massive MIMO
hybrid precoding
title Hybrid precoding method for mmWave massive MIMO systems based on LFM
title_full Hybrid precoding method for mmWave massive MIMO systems based on LFM
title_fullStr Hybrid precoding method for mmWave massive MIMO systems based on LFM
title_full_unstemmed Hybrid precoding method for mmWave massive MIMO systems based on LFM
title_short Hybrid precoding method for mmWave massive MIMO systems based on LFM
title_sort hybrid precoding method for mmwave massive mimo systems based on lfm
topic LFM
millimeter wave
massive MIMO
hybrid precoding
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019069/
work_keys_str_mv AT haoyichen hybridprecodingmethodformmwavemassivemimosystemsbasedonlfm
AT yifanding hybridprecodingmethodformmwavemassivemimosystemsbasedonlfm
AT yingcheng hybridprecodingmethodformmwavemassivemimosystemsbasedonlfm