Achievable Rate Region under Linear Beamforming for Dual-Hop Multiple-Access Relay Network

Consider a network consisting of two independent single-antenna sources, a single-antenna destination and a helping multiple-antenna relay. This network is called a dual-hop multiple access relay network (MARN). In this network, sources transmit to the relay simultaneously in the first time slot. Th...

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Main Authors: Guiguo Feng, Wangmei Guo, Binyue Liu
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/20/8/547
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spelling doaj-d0a7c0c1cd0c4c51a1d3317bb36054e22020-11-25T00:11:35ZengMDPI AGEntropy1099-43002018-07-0120854710.3390/e20080547e20080547Achievable Rate Region under Linear Beamforming for Dual-Hop Multiple-Access Relay NetworkGuiguo Feng0Wangmei Guo1Binyue Liu2The State Key Laboratory of Integrated Services Network, Xidian University, Xi’an 710071, ChinaThe State Key Laboratory of Integrated Services Network, Xidian University, Xi’an 710071, ChinaBell Labs., Alcatel-Lucent, Shanghai 201206, ChinaConsider a network consisting of two independent single-antenna sources, a single-antenna destination and a helping multiple-antenna relay. This network is called a dual-hop multiple access relay network (MARN). In this network, sources transmit to the relay simultaneously in the first time slot. The relay retransmits the received sum-signal to the destination using a linear beamforming scheme in the second time slot. In this paper, we characterize the achievable rate region of MARN under linear beamforming. The achievable rate region characterization problem is first transformed to an equivalent “corner point” optimization problem with respect to linear beamforming matrix at the relay. Then, we present an efficient algorithm to solve it via only semi-definite programming (SDP). We further derive the mathematical close-forms of the maximum individual rates and the sum-rate. Finally, numerical results demonstrate the performance of the proposed schemes.http://www.mdpi.com/1099-4300/20/8/547beamformingmultiple-access relay network (MARN)achievable rate regionsemi-definite relaxationsemi-definite programming
collection DOAJ
language English
format Article
sources DOAJ
author Guiguo Feng
Wangmei Guo
Binyue Liu
spellingShingle Guiguo Feng
Wangmei Guo
Binyue Liu
Achievable Rate Region under Linear Beamforming for Dual-Hop Multiple-Access Relay Network
Entropy
beamforming
multiple-access relay network (MARN)
achievable rate region
semi-definite relaxation
semi-definite programming
author_facet Guiguo Feng
Wangmei Guo
Binyue Liu
author_sort Guiguo Feng
title Achievable Rate Region under Linear Beamforming for Dual-Hop Multiple-Access Relay Network
title_short Achievable Rate Region under Linear Beamforming for Dual-Hop Multiple-Access Relay Network
title_full Achievable Rate Region under Linear Beamforming for Dual-Hop Multiple-Access Relay Network
title_fullStr Achievable Rate Region under Linear Beamforming for Dual-Hop Multiple-Access Relay Network
title_full_unstemmed Achievable Rate Region under Linear Beamforming for Dual-Hop Multiple-Access Relay Network
title_sort achievable rate region under linear beamforming for dual-hop multiple-access relay network
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2018-07-01
description Consider a network consisting of two independent single-antenna sources, a single-antenna destination and a helping multiple-antenna relay. This network is called a dual-hop multiple access relay network (MARN). In this network, sources transmit to the relay simultaneously in the first time slot. The relay retransmits the received sum-signal to the destination using a linear beamforming scheme in the second time slot. In this paper, we characterize the achievable rate region of MARN under linear beamforming. The achievable rate region characterization problem is first transformed to an equivalent “corner point” optimization problem with respect to linear beamforming matrix at the relay. Then, we present an efficient algorithm to solve it via only semi-definite programming (SDP). We further derive the mathematical close-forms of the maximum individual rates and the sum-rate. Finally, numerical results demonstrate the performance of the proposed schemes.
topic beamforming
multiple-access relay network (MARN)
achievable rate region
semi-definite relaxation
semi-definite programming
url http://www.mdpi.com/1099-4300/20/8/547
work_keys_str_mv AT guiguofeng achievablerateregionunderlinearbeamformingfordualhopmultipleaccessrelaynetwork
AT wangmeiguo achievablerateregionunderlinearbeamformingfordualhopmultipleaccessrelaynetwork
AT binyueliu achievablerateregionunderlinearbeamformingfordualhopmultipleaccessrelaynetwork
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