An Improved Robust Beamforming Design for Cognitive Multiantenna Relay Networks

An Improved Robust Beamforming Design for Cognitive Multiantenna Relay Networks

This paper investigates the robust relay beamforming design for the multiantenna nonregenerative cognitive relay networks (CRNs). Firstly, it is proved that the optimal beamforming matrix could be simplified as the product of a variable vector and the conjugate transposition of a known channel respo...

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Main Authors: Lulu Zhao, Guang Liang, Huijie Liu
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Mobile Information Systems
Online Access:http://dx.doi.org/10.1155/2017/2719543
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spelling doaj-34e92ba253e64f73a7390be45bdaa2792021-07-02T07:57:17ZengHindawi LimitedMobile Information Systems1574-017X1875-905X2017-01-01201710.1155/2017/27195432719543An Improved Robust Beamforming Design for Cognitive Multiantenna Relay NetworksLulu Zhao0Guang Liang1Huijie Liu2Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, ChinaShanghai Engineering Center for Microsatellites, Shanghai 201210, ChinaShanghai Engineering Center for Microsatellites, Shanghai 201210, ChinaThis paper investigates the robust relay beamforming design for the multiantenna nonregenerative cognitive relay networks (CRNs). Firstly, it is proved that the optimal beamforming matrix could be simplified as the product of a variable vector and the conjugate transposition of a known channel response vector. Then, by exploiting the optimal beamforming matrix with simplified structure, an improved robust beamforming design is proposed. Analysis and simulation results show that, compared with the existing suboptimal scheme, the proposed method can achieve higher worst-case channel capacity with lower computational complexity.http://dx.doi.org/10.1155/2017/2719543
collection DOAJ
language English
format Article
sources DOAJ
author Lulu Zhao
Guang Liang
Huijie Liu
spellingShingle Lulu Zhao
Guang Liang
Huijie Liu
An Improved Robust Beamforming Design for Cognitive Multiantenna Relay Networks
Mobile Information Systems
author_facet Lulu Zhao
Guang Liang
Huijie Liu
author_sort Lulu Zhao
title An Improved Robust Beamforming Design for Cognitive Multiantenna Relay Networks
title_short An Improved Robust Beamforming Design for Cognitive Multiantenna Relay Networks
title_full An Improved Robust Beamforming Design for Cognitive Multiantenna Relay Networks
title_fullStr An Improved Robust Beamforming Design for Cognitive Multiantenna Relay Networks
title_full_unstemmed An Improved Robust Beamforming Design for Cognitive Multiantenna Relay Networks
title_sort improved robust beamforming design for cognitive multiantenna relay networks
publisher Hindawi Limited
series Mobile Information Systems
issn 1574-017X
1875-905X
publishDate 2017-01-01
description This paper investigates the robust relay beamforming design for the multiantenna nonregenerative cognitive relay networks (CRNs). Firstly, it is proved that the optimal beamforming matrix could be simplified as the product of a variable vector and the conjugate transposition of a known channel response vector. Then, by exploiting the optimal beamforming matrix with simplified structure, an improved robust beamforming design is proposed. Analysis and simulation results show that, compared with the existing suboptimal scheme, the proposed method can achieve higher worst-case channel capacity with lower computational complexity.
url http://dx.doi.org/10.1155/2017/2719543
work_keys_str_mv AT luluzhao animprovedrobustbeamformingdesignforcognitivemultiantennarelaynetworks
AT guangliang animprovedrobustbeamformingdesignforcognitivemultiantennarelaynetworks
AT huijieliu animprovedrobustbeamformingdesignforcognitivemultiantennarelaynetworks
AT luluzhao improvedrobustbeamformingdesignforcognitivemultiantennarelaynetworks
AT guangliang improvedrobustbeamformingdesignforcognitivemultiantennarelaynetworks
AT huijieliu improvedrobustbeamformingdesignforcognitivemultiantennarelaynetworks
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