Near-Optimal Joint Antenna Selection for Amplify-and-Forward Relay Networks

This paper considers a joint antenna selection method in amplify-and-forward (AF) relay networks where the source, relay and destination are all equipped with multiple antennas. Since the exhaustive search for antenna subset selection is computationally prohibitive, a low-complexity near-optimal joi...

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Main Authors: Zhang, Y, Zheng, G, Ji, C, Wong, K, Edwards, D, Cui, T
Format: Journal article
Language:English
Published: 2010
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author Zhang, Y
Zheng, G
Ji, C
Wong, K
Edwards, D
Cui, T
author_facet Zhang, Y
Zheng, G
Ji, C
Wong, K
Edwards, D
Cui, T
author_sort Zhang, Y
collection OXFORD
description This paper considers a joint antenna selection method in amplify-and-forward (AF) relay networks where the source, relay and destination are all equipped with multiple antennas. Since the exhaustive search for antenna subset selection is computationally prohibitive, a low-complexity near-optimal joint antenna selection algorithm based on a constrained cross entropy optimization (CCEO) method is proposed to maximize the achievable rate. Simulation results reveal both the effectiveness and the efficiency of the proposed algorithm and the significant performance improvement over other benchmark selection techniques. Finally, it is demonstrated that the proposed algorithm can achieve near-optimal results regardless of the number of selected antennas, outage probabilities and the signal-to-noise ratios (SNRs) at the terminals. © 2009 IEEE.
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spelling oxford-uuid:cf247713-cd42-487a-be9d-647bdf823c062022-03-27T07:40:30ZNear-Optimal Joint Antenna Selection for Amplify-and-Forward Relay NetworksJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:cf247713-cd42-487a-be9d-647bdf823c06EnglishSymplectic Elements at Oxford2010Zhang, YZheng, GJi, CWong, KEdwards, DCui, TThis paper considers a joint antenna selection method in amplify-and-forward (AF) relay networks where the source, relay and destination are all equipped with multiple antennas. Since the exhaustive search for antenna subset selection is computationally prohibitive, a low-complexity near-optimal joint antenna selection algorithm based on a constrained cross entropy optimization (CCEO) method is proposed to maximize the achievable rate. Simulation results reveal both the effectiveness and the efficiency of the proposed algorithm and the significant performance improvement over other benchmark selection techniques. Finally, it is demonstrated that the proposed algorithm can achieve near-optimal results regardless of the number of selected antennas, outage probabilities and the signal-to-noise ratios (SNRs) at the terminals. © 2009 IEEE.
spellingShingle Zhang, Y
Zheng, G
Ji, C
Wong, K
Edwards, D
Cui, T
Near-Optimal Joint Antenna Selection for Amplify-and-Forward Relay Networks
title Near-Optimal Joint Antenna Selection for Amplify-and-Forward Relay Networks
title_full Near-Optimal Joint Antenna Selection for Amplify-and-Forward Relay Networks
title_fullStr Near-Optimal Joint Antenna Selection for Amplify-and-Forward Relay Networks
title_full_unstemmed Near-Optimal Joint Antenna Selection for Amplify-and-Forward Relay Networks
title_short Near-Optimal Joint Antenna Selection for Amplify-and-Forward Relay Networks
title_sort near optimal joint antenna selection for amplify and forward relay networks
work_keys_str_mv AT zhangy nearoptimaljointantennaselectionforamplifyandforwardrelaynetworks
AT zhengg nearoptimaljointantennaselectionforamplifyandforwardrelaynetworks
AT jic nearoptimaljointantennaselectionforamplifyandforwardrelaynetworks
AT wongk nearoptimaljointantennaselectionforamplifyandforwardrelaynetworks
AT edwardsd nearoptimaljointantennaselectionforamplifyandforwardrelaynetworks
AT cuit nearoptimaljointantennaselectionforamplifyandforwardrelaynetworks