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Topological Interference Management for K-User Downlink Massive MIMO Relay Network Channel

In this paper, we study the emergence of topological interference alignment and the characterizing features of a multi-user broadcast interference relay channel. We propose an alternative transmission strategy named the relay space-time interference alignment (R-STIA) technique, in which a [Formula:...

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Autores principales: Selvaprabhu, Poongundran, Chinnadurai, Sunil, Li, Jun, Lee, Moon Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579574/
https://www.ncbi.nlm.nih.gov/pubmed/28817071
http://dx.doi.org/10.3390/s17081896
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author Selvaprabhu, Poongundran
Chinnadurai, Sunil
Li, Jun
Lee, Moon Ho
author_facet Selvaprabhu, Poongundran
Chinnadurai, Sunil
Li, Jun
Lee, Moon Ho
author_sort Selvaprabhu, Poongundran
collection PubMed
description In this paper, we study the emergence of topological interference alignment and the characterizing features of a multi-user broadcast interference relay channel. We propose an alternative transmission strategy named the relay space-time interference alignment (R-STIA) technique, in which a [Formula: see text] -user multiple-input-multiple-output (MIMO) interference channel has massive antennas at the transmitter and relay. Severe interference from unknown transmitters affects the downlink relay network channel and degrades the system performance. An additional (unintended) receiver is introduced in the proposed R-STIA technique to overcome the above problem, since it has the ability to decode the desired signals for the intended receiver by considering cooperation between the receivers. The additional receiver also helps in recovering and reconstructing the interference signals with limited channel state information at the relay (CSIR). The Alamouti space-time transmission technique and minimum mean square error (MMSE) linear precoder are also used in the proposed scheme to detect the presence of interference signals. Numerical results show that the proposed R-STIA technique achieves a better performance in terms of the bit error rate (BER) and sum-rate compared to the existing broadcast channel schemes.
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spelling pubmed-55795742017-09-06 Topological Interference Management for K-User Downlink Massive MIMO Relay Network Channel Selvaprabhu, Poongundran Chinnadurai, Sunil Li, Jun Lee, Moon Ho Sensors (Basel) Article In this paper, we study the emergence of topological interference alignment and the characterizing features of a multi-user broadcast interference relay channel. We propose an alternative transmission strategy named the relay space-time interference alignment (R-STIA) technique, in which a [Formula: see text] -user multiple-input-multiple-output (MIMO) interference channel has massive antennas at the transmitter and relay. Severe interference from unknown transmitters affects the downlink relay network channel and degrades the system performance. An additional (unintended) receiver is introduced in the proposed R-STIA technique to overcome the above problem, since it has the ability to decode the desired signals for the intended receiver by considering cooperation between the receivers. The additional receiver also helps in recovering and reconstructing the interference signals with limited channel state information at the relay (CSIR). The Alamouti space-time transmission technique and minimum mean square error (MMSE) linear precoder are also used in the proposed scheme to detect the presence of interference signals. Numerical results show that the proposed R-STIA technique achieves a better performance in terms of the bit error rate (BER) and sum-rate compared to the existing broadcast channel schemes. MDPI 2017-08-17 /pmc/articles/PMC5579574/ /pubmed/28817071 http://dx.doi.org/10.3390/s17081896 Text en © 2017 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Selvaprabhu, Poongundran
Chinnadurai, Sunil
Li, Jun
Lee, Moon Ho
Topological Interference Management for K-User Downlink Massive MIMO Relay Network Channel
title Topological Interference Management for K-User Downlink Massive MIMO Relay Network Channel
title_full Topological Interference Management for K-User Downlink Massive MIMO Relay Network Channel
title_fullStr Topological Interference Management for K-User Downlink Massive MIMO Relay Network Channel
title_full_unstemmed Topological Interference Management for K-User Downlink Massive MIMO Relay Network Channel
title_short Topological Interference Management for K-User Downlink Massive MIMO Relay Network Channel
title_sort topological interference management for k-user downlink massive mimo relay network channel
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579574/
https://www.ncbi.nlm.nih.gov/pubmed/28817071
http://dx.doi.org/10.3390/s17081896
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