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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Language: | zho |
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Editorial Department of Journal on Communications
2017-06-01
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Series: | Tongxin xuebao |
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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 |