Adaptive beamforming of massive MIMO based on DoA in high mobility scenarios

A direction of arrival based (DoA-based) beamforming of massive MIMO was proposed for high-speed railway scenarios.In order to guarantee that the optimal system capacity can be obtained during traveling,an iterative multi-beams scheme was proposed.It aimed to design different beams for different mob...

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Main Authors: Yong LIAO, Yu-feng LI, Xuan-fan SHEN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2017-06-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017086/
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author Yong LIAO
Yu-feng LI
Xuan-fan SHEN
author_facet Yong LIAO
Yu-feng LI
Xuan-fan SHEN
author_sort Yong LIAO
collection DOAJ
description A direction of arrival based (DoA-based) beamforming of massive MIMO was proposed for high-speed railway scenarios.In order to guarantee that the optimal system capacity can be obtained during traveling,an iterative multi-beams scheme was proposed.It aimed to design different beams for different mobile carriage terminals (MCT) respectively.The proposal adaptively selected the number of antennas for each beam,and adaptively designed the number of beams according to system capacity.Moreover,the scheme didn’t need channel state information (CSI) that can reduce system implementation complexity and cost.Numerical results indicate that the proposed scheme is suitable for high-speed scenarios,the system performance can be improved more efficiently compared to conventional methods.
format Article
id doaj-art-d5904f2dcb134b8cb642640126990945
institution Kabale University
issn 1000-436X
language zho
publishDate 2017-06-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-d5904f2dcb134b8cb6426401269909452025-01-14T07:12:10ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-06-0138586759709618Adaptive beamforming of massive MIMO based on DoA in high mobility scenariosYong LIAOYu-feng LIXuan-fan SHENA direction of arrival based (DoA-based) beamforming of massive MIMO was proposed for high-speed railway scenarios.In order to guarantee that the optimal system capacity can be obtained during traveling,an iterative multi-beams scheme was proposed.It aimed to design different beams for different mobile carriage terminals (MCT) respectively.The proposal adaptively selected the number of antennas for each beam,and adaptively designed the number of beams according to system capacity.Moreover,the scheme didn’t need channel state information (CSI) that can reduce system implementation complexity and cost.Numerical results indicate that the proposed scheme is suitable for high-speed scenarios,the system performance can be improved more efficiently compared to conventional methods.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017086/high-speed railwaymassive MIMOtrain-ground communicationdirection of arrivalbeamforming
spellingShingle Yong LIAO
Yu-feng LI
Xuan-fan SHEN
Adaptive beamforming of massive MIMO based on DoA in high mobility scenarios
Tongxin xuebao
high-speed railway
massive MIMO
train-ground communication
direction of arrival
beamforming
title Adaptive beamforming of massive MIMO based on DoA in high mobility scenarios
title_full Adaptive beamforming of massive MIMO based on DoA in high mobility scenarios
title_fullStr Adaptive beamforming of massive MIMO based on DoA in high mobility scenarios
title_full_unstemmed Adaptive beamforming of massive MIMO based on DoA in high mobility scenarios
title_short Adaptive beamforming of massive MIMO based on DoA in high mobility scenarios
title_sort adaptive beamforming of massive mimo based on doa in high mobility scenarios
topic high-speed railway
massive MIMO
train-ground communication
direction of arrival
beamforming
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017086/
work_keys_str_mv AT yongliao adaptivebeamformingofmassivemimobasedondoainhighmobilityscenarios
AT yufengli adaptivebeamformingofmassivemimobasedondoainhighmobilityscenarios
AT xuanfanshen adaptivebeamformingofmassivemimobasedondoainhighmobilityscenarios