Analog network coding in the multiple access relay channel: error rate analysis and optimal power allocation

In this paper, we consider Analog Network Coding (ANC) in the Multiple Access Relay Channel (MARC) with multiple relays, and provide the following three-fold contribution: 1) we introduce a tractable mathematical framework for computing the Symbol Error Rate (SER) of Maximum-Likelihood (ML), Zero-Fo...

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Authors: Ntontin, Konstantinos, Di Renzo, Marco, Pérez Neira, Ana Isabel|||0000-0003-4281-3934, Verikoukis, Christos
Format: article
Publication Date:2015
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/81843
Online Access:https://hdl.handle.net/2117/81843
https://dx.doi.org/10.1109/TWC.2015.2399671
Access Level:Open access
Keyword:Wireless LANs
Analog network coding
Multiple access relay channel
Maximum-likelihood
Zero-forcing
Minimum mean square error
Amplify-and-forward
Performance analysis
Receiver
Systems
Xarxes locals sense fil Wi-Fi
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
id ES_8f66f9d6ea9734bbd383411be1caeeea
oai_identifier_str oai:upcommons.upc.edu:2117/81843
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repository_id_str
spelling Analog network coding in the multiple access relay channel: error rate analysis and optimal power allocationNtontin, KonstantinosDi Renzo, MarcoPérez Neira, Ana Isabel|||0000-0003-4281-3934Verikoukis, ChristosWireless LANsAnalog network codingMultiple access relay channelMaximum-likelihoodZero-forcingMinimum mean square errorAmplify-and-forwardPerformance analysisReceiverSystemsXarxes locals sense fil Wi-FiÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadorsIn this paper, we consider Analog Network Coding (ANC) in the Multiple Access Relay Channel (MARC) with multiple relays, and provide the following three-fold contribution: 1) we introduce a tractable mathematical framework for computing the Symbol Error Rate (SER) of Maximum-Likelihood (ML), Zero-Forcing (ZF), and Minimum Mean Square Error (MMSE) receivers; 2) by capitalizing on this tractable mathematical framework, we formulate a power allocation problem that is proved to be convex for ML, ZF and MMSE receivers; and 3) we provide closed-form expressions of the optimal power to be allocated to the sources and the relays for ZF and MMSE receivers. With the aid of Monte Carlo simulations, we validate the accuracy of the proposed mathematical framework for various network topologies and channel conditions, as well as study the effectiveness of optimal power allocation. It is shown, in particular, that power optimization is beneficial as the number of sources increases and if the quality of the source-relay links is better than the quality of the relay-destination links.Peer Reviewed20152015-06-0120162016-01-21journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/81843https://dx.doi.org/10.1109/TWC.2015.2399671reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/818432026-05-27T15:37:01Z
dc.title.none.fl_str_mv Analog network coding in the multiple access relay channel: error rate analysis and optimal power allocation
title Analog network coding in the multiple access relay channel: error rate analysis and optimal power allocation
spellingShingle Analog network coding in the multiple access relay channel: error rate analysis and optimal power allocation
Ntontin, Konstantinos
Wireless LANs
Analog network coding
Multiple access relay channel
Maximum-likelihood
Zero-forcing
Minimum mean square error
Amplify-and-forward
Performance analysis
Receiver
Systems
Xarxes locals sense fil Wi-Fi
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
title_short Analog network coding in the multiple access relay channel: error rate analysis and optimal power allocation
title_full Analog network coding in the multiple access relay channel: error rate analysis and optimal power allocation
title_fullStr Analog network coding in the multiple access relay channel: error rate analysis and optimal power allocation
title_full_unstemmed Analog network coding in the multiple access relay channel: error rate analysis and optimal power allocation
title_sort Analog network coding in the multiple access relay channel: error rate analysis and optimal power allocation
dc.creator.none.fl_str_mv Ntontin, Konstantinos
Di Renzo, Marco
Pérez Neira, Ana Isabel|||0000-0003-4281-3934
Verikoukis, Christos
author Ntontin, Konstantinos
author_facet Ntontin, Konstantinos
Di Renzo, Marco
Pérez Neira, Ana Isabel|||0000-0003-4281-3934
Verikoukis, Christos
author_role author
author2 Di Renzo, Marco
Pérez Neira, Ana Isabel|||0000-0003-4281-3934
Verikoukis, Christos
author2_role author
author
author
dc.subject.none.fl_str_mv Wireless LANs
Analog network coding
Multiple access relay channel
Maximum-likelihood
Zero-forcing
Minimum mean square error
Amplify-and-forward
Performance analysis
Receiver
Systems
Xarxes locals sense fil Wi-Fi
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
topic Wireless LANs
Analog network coding
Multiple access relay channel
Maximum-likelihood
Zero-forcing
Minimum mean square error
Amplify-and-forward
Performance analysis
Receiver
Systems
Xarxes locals sense fil Wi-Fi
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
description In this paper, we consider Analog Network Coding (ANC) in the Multiple Access Relay Channel (MARC) with multiple relays, and provide the following three-fold contribution: 1) we introduce a tractable mathematical framework for computing the Symbol Error Rate (SER) of Maximum-Likelihood (ML), Zero-Forcing (ZF), and Minimum Mean Square Error (MMSE) receivers; 2) by capitalizing on this tractable mathematical framework, we formulate a power allocation problem that is proved to be convex for ML, ZF and MMSE receivers; and 3) we provide closed-form expressions of the optimal power to be allocated to the sources and the relays for ZF and MMSE receivers. With the aid of Monte Carlo simulations, we validate the accuracy of the proposed mathematical framework for various network topologies and channel conditions, as well as study the effectiveness of optimal power allocation. It is shown, in particular, that power optimization is beneficial as the number of sources increases and if the quality of the source-relay links is better than the quality of the relay-destination links.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-06-01
2016
2016-01-21
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/81843
https://dx.doi.org/10.1109/TWC.2015.2399671
url https://hdl.handle.net/2117/81843
https://dx.doi.org/10.1109/TWC.2015.2399671
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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