Cognitive Full-Duplex Decode-and-Forward Relaying Networks with Usable Direct Link and Transmit-Power Constraints
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
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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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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1826303733673230336 |