A Precoding Algorithm Based on Max-SNR in Massive MIMO System

In order to obtain higher data transmission speed and greater array gain,a precoding algorithm based on max-SNR in massive MIMO system was proposed.The basic method of this algorithm was following.Firstly,the base station obtained MMSE channel estimation by received uplink pilot sequences,then the b...

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Main Author: Yuhua Wu
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2015-10-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015250/
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author Yuhua Wu
author_facet Yuhua Wu
author_sort Yuhua Wu
collection DOAJ
description In order to obtain higher data transmission speed and greater array gain,a precoding algorithm based on max-SNR in massive MIMO system was proposed.The basic method of this algorithm was following.Firstly,the base station obtained MMSE channel estimation by received uplink pilot sequences,then the base station transmited downlink data to users after precoding.Terminal users derived the optimal precoding matrix by resolving a Rayleigh entropy optimization problem based on the received SNR.Simulation results show that the performance of the proposed algorithm is better than SVD algorithm,especially when the number of transmit antennas is large,the proposed algorithm is valuable in massive MIMO systems in the future.
format Article
id doaj-art-c070144402094c69a4dfeb81ccf76fea
institution Kabale University
issn 1000-0801
language zho
publishDate 2015-10-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-c070144402094c69a4dfeb81ccf76fea2025-01-15T03:24:06ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-10-013110310659798302A Precoding Algorithm Based on Max-SNR in Massive MIMO SystemYuhua WuIn order to obtain higher data transmission speed and greater array gain,a precoding algorithm based on max-SNR in massive MIMO system was proposed.The basic method of this algorithm was following.Firstly,the base station obtained MMSE channel estimation by received uplink pilot sequences,then the base station transmited downlink data to users after precoding.Terminal users derived the optimal precoding matrix by resolving a Rayleigh entropy optimization problem based on the received SNR.Simulation results show that the performance of the proposed algorithm is better than SVD algorithm,especially when the number of transmit antennas is large,the proposed algorithm is valuable in massive MIMO systems in the future.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015250/MMSE channel estimationpilotprecodingRayleigh entropySNR
spellingShingle Yuhua Wu
A Precoding Algorithm Based on Max-SNR in Massive MIMO System
Dianxin kexue
MMSE channel estimation
pilot
precoding
Rayleigh entropy
SNR
title A Precoding Algorithm Based on Max-SNR in Massive MIMO System
title_full A Precoding Algorithm Based on Max-SNR in Massive MIMO System
title_fullStr A Precoding Algorithm Based on Max-SNR in Massive MIMO System
title_full_unstemmed A Precoding Algorithm Based on Max-SNR in Massive MIMO System
title_short A Precoding Algorithm Based on Max-SNR in Massive MIMO System
title_sort precoding algorithm based on max snr in massive mimo system
topic MMSE channel estimation
pilot
precoding
Rayleigh entropy
SNR
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015250/
work_keys_str_mv AT yuhuawu aprecodingalgorithmbasedonmaxsnrinmassivemimosystem
AT yuhuawu precodingalgorithmbasedonmaxsnrinmassivemimosystem