Cognitive Full-Duplex Decode-and-Forward Relaying Networks with Usable Direct Link and Transmit-Power Constraints

Detalhes bibliográficos
Autor(a) principal: Benitez Olivo, Edgar Eduardo [UNESP]
Data de Publicação: 2018
Outros Autores: Moya Osorio, Diana Pamela, Alves, Hirley, Silveira Santos Filho, Jose Candido, Latva-Aho, Matti
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ACCESS.2018.2831664
http://hdl.handle.net/11449/170963
Resumo: The performance of an underlay cognitive radio network that coexists with a primary destination is studied in terms of the outage probability. The investigated secondary network comprises a source-destination pair communicating under the assistance of a full-duplex decode-and-forward relay. We consider the following key aspects pertinent to the underlay cognitive-radio approach and to the full-duplex operation at the relay: the transmit power constraint of the cognitive network by the maximum interference tolerated at the primary destination, as well as by the maximum-available transmit power at the cognitive terminals; the impact of the residual self-interference inherent to the relay; and the use of a joint-decoding technique at the destination in order to combine the concurrent signals coming from the source and relay, which enables the treatment of the direct-link transmission as information signal, rather than as interference. Herein, the joint effect of the maximum interference power constraint and the residual self-interference are both examined. To this end, an arbitrary power allocation between source and relay is allowed. Then, an accurate closed-form approximation to the outage probability is proposed, from which an asymptotic expression is derived for the high SNR ratio regime. Our analytical results are validated via Monte Carlo simulations. Importantly, we show that a maximum-available transmit power not only saves energy but also reduces the outage probability at medium to high SNR ratio.
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spelling Cognitive Full-Duplex Decode-and-Forward Relaying Networks with Usable Direct Link and Transmit-Power ConstraintsCooperative diversitydecode-and-forwardfull-duplex relayingoutage probabilityunderlay spectrum sharingThe performance of an underlay cognitive radio network that coexists with a primary destination is studied in terms of the outage probability. The investigated secondary network comprises a source-destination pair communicating under the assistance of a full-duplex decode-and-forward relay. We consider the following key aspects pertinent to the underlay cognitive-radio approach and to the full-duplex operation at the relay: the transmit power constraint of the cognitive network by the maximum interference tolerated at the primary destination, as well as by the maximum-available transmit power at the cognitive terminals; the impact of the residual self-interference inherent to the relay; and the use of a joint-decoding technique at the destination in order to combine the concurrent signals coming from the source and relay, which enables the treatment of the direct-link transmission as information signal, rather than as interference. Herein, the joint effect of the maximum interference power constraint and the residual self-interference are both examined. To this end, an arbitrary power allocation between source and relay is allowed. Then, an accurate closed-form approximation to the outage probability is proposed, from which an asymptotic expression is derived for the high SNR ratio regime. Our analytical results are validated via Monte Carlo simulations. Importantly, we show that a maximum-available transmit power not only saves energy but also reduces the outage probability at medium to high SNR ratio.São Paulo State University (UNESP) Campus of São João da Boa VistaDepartment of Electrical Engineering Center of Exact Sciences and Technology Federal University of São CarlosCentre for Wireless Communications University of OuluDepartment of Communications School of Electrical and Computer Engineering University of CampinasSão Paulo State University (UNESP) Campus of São João da Boa VistaUniversidade Estadual Paulista (Unesp)Universidade Federal de São Carlos (UFSCar)University of OuluUniversidade Estadual de Campinas (UNICAMP)Benitez Olivo, Edgar Eduardo [UNESP]Moya Osorio, Diana PamelaAlves, HirleySilveira Santos Filho, Jose CandidoLatva-Aho, Matti2018-12-11T16:53:09Z2018-12-11T16:53:09Z2018-04-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article24983-24995application/pdfhttp://dx.doi.org/10.1109/ACCESS.2018.2831664IEEE Access, v. 6, p. 24983-24995.2169-3536http://hdl.handle.net/11449/17096310.1109/ACCESS.2018.28316642-s2.0-850463464122-s2.0-85046346412.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Access0,548info:eu-repo/semantics/openAccess2023-10-25T06:07:23Zoai:repositorio.unesp.br:11449/170963Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462023-10-25T06:07:23Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Cognitive Full-Duplex Decode-and-Forward Relaying Networks with Usable Direct Link and Transmit-Power Constraints
title Cognitive Full-Duplex Decode-and-Forward Relaying Networks with Usable Direct Link and Transmit-Power Constraints
spellingShingle Cognitive Full-Duplex Decode-and-Forward Relaying Networks with Usable Direct Link and Transmit-Power Constraints
Benitez Olivo, Edgar Eduardo [UNESP]
Cooperative diversity
decode-and-forward
full-duplex relaying
outage probability
underlay spectrum sharing
title_short Cognitive Full-Duplex Decode-and-Forward Relaying Networks with Usable Direct Link and Transmit-Power Constraints
title_full Cognitive Full-Duplex Decode-and-Forward Relaying Networks with Usable Direct Link and Transmit-Power Constraints
title_fullStr Cognitive Full-Duplex Decode-and-Forward Relaying Networks with Usable Direct Link and Transmit-Power Constraints
title_full_unstemmed Cognitive Full-Duplex Decode-and-Forward Relaying Networks with Usable Direct Link and Transmit-Power Constraints
title_sort Cognitive Full-Duplex Decode-and-Forward Relaying Networks with Usable Direct Link and Transmit-Power Constraints
author Benitez Olivo, Edgar Eduardo [UNESP]
author_facet Benitez Olivo, Edgar Eduardo [UNESP]
Moya Osorio, Diana Pamela
Alves, Hirley
Silveira Santos Filho, Jose Candido
Latva-Aho, Matti
author_role author
author2 Moya Osorio, Diana Pamela
Alves, Hirley
Silveira Santos Filho, Jose Candido
Latva-Aho, Matti
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal de São Carlos (UFSCar)
University of Oulu
Universidade Estadual de Campinas (UNICAMP)
dc.contributor.author.fl_str_mv Benitez Olivo, Edgar Eduardo [UNESP]
Moya Osorio, Diana Pamela
Alves, Hirley
Silveira Santos Filho, Jose Candido
Latva-Aho, Matti
dc.subject.por.fl_str_mv Cooperative diversity
decode-and-forward
full-duplex relaying
outage probability
underlay spectrum sharing
topic Cooperative diversity
decode-and-forward
full-duplex relaying
outage probability
underlay spectrum sharing
description The performance of an underlay cognitive radio network that coexists with a primary destination is studied in terms of the outage probability. The investigated secondary network comprises a source-destination pair communicating under the assistance of a full-duplex decode-and-forward relay. We consider the following key aspects pertinent to the underlay cognitive-radio approach and to the full-duplex operation at the relay: the transmit power constraint of the cognitive network by the maximum interference tolerated at the primary destination, as well as by the maximum-available transmit power at the cognitive terminals; the impact of the residual self-interference inherent to the relay; and the use of a joint-decoding technique at the destination in order to combine the concurrent signals coming from the source and relay, which enables the treatment of the direct-link transmission as information signal, rather than as interference. Herein, the joint effect of the maximum interference power constraint and the residual self-interference are both examined. To this end, an arbitrary power allocation between source and relay is allowed. Then, an accurate closed-form approximation to the outage probability is proposed, from which an asymptotic expression is derived for the high SNR ratio regime. Our analytical results are validated via Monte Carlo simulations. Importantly, we show that a maximum-available transmit power not only saves energy but also reduces the outage probability at medium to high SNR ratio.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-11T16:53:09Z
2018-12-11T16:53:09Z
2018-04-28
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/ACCESS.2018.2831664
IEEE Access, v. 6, p. 24983-24995.
2169-3536
http://hdl.handle.net/11449/170963
10.1109/ACCESS.2018.2831664
2-s2.0-85046346412
2-s2.0-85046346412.pdf
url http://dx.doi.org/10.1109/ACCESS.2018.2831664
http://hdl.handle.net/11449/170963
identifier_str_mv IEEE Access, v. 6, p. 24983-24995.
2169-3536
10.1109/ACCESS.2018.2831664
2-s2.0-85046346412
2-s2.0-85046346412.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv IEEE Access
0,548
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 24983-24995
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
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