Full-Duplex Relaying with Improper Gaussian Signaling over Nakagami-m Fading Channels

Handle URI:
http://hdl.handle.net/10754/625969
Title:
Full-Duplex Relaying with Improper Gaussian Signaling over Nakagami-m Fading Channels
Authors:
Gaafar, Mohamed ( 0000-0003-2915-644X ) ; Khafagy, Mohammad Galal ( 0000-0001-7578-9702 ) ; Amin, Osama; Schaefer, Rafael F.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
We study the potential employment of improper Gaussian signaling (IGS) in full-duplex relaying (FDR) with non-negligible residual self-interference (RSI) under Nakagami- m fading. IGS is recently shown to outperform traditional proper Gaussian signaling (PGS) in several interference-limited settings. In this work, IGS is employed as an attempt to alleviate RSI. We use two performance metrics, namely, the outage probability and the ergodic rate. First, we provide upper and lower bounds for the system performance in terms of the relay transmit power and circularity coefficient, a measure of the signal impropriety. Then, we numerically optimize the relay signal parameters based only on the channel statistics to improve the system performance. Based on the analysis, IGS allows FDR to operate even with high RSI. The results show that IGS can leverage higher power budgets to enhance the performance, meanwhile it relieves RSI impact via tuning the signal impropriety. Interestingly, one-dimensional optimization of the circularity coefficient, with maximum relay power, offers a similar performance as the joint optimization, which reduces the optimization complexity. From a throughput standpoint, it is shown that IGS-FDR can outperform not only PGS-FDR, but also half-duplex relaying with/without maximum ratio combining over certain regions of the target source rate.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Gaafar M, Khafagy MG, Amin O, Schaefer RF, Alouini M-S (2017) Full-Duplex Relaying with Improper Gaussian Signaling over Nakagami-m Fading Channels. IEEE Transactions on Communications: 1–1. Available: http://dx.doi.org/10.1109/TCOMM.2017.2759109.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Communications
Issue Date:
4-Oct-2017
DOI:
10.1109/TCOMM.2017.2759109
Type:
Article
ISSN:
0090-6778
Sponsors:
The research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST).
Additional Links:
http://ieeexplore.ieee.org/document/8057834/
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorGaafar, Mohameden
dc.contributor.authorKhafagy, Mohammad Galalen
dc.contributor.authorAmin, Osamaen
dc.contributor.authorSchaefer, Rafael F.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2017-10-30T07:55:30Z-
dc.date.available2017-10-30T07:55:30Z-
dc.date.issued2017-10-04en
dc.identifier.citationGaafar M, Khafagy MG, Amin O, Schaefer RF, Alouini M-S (2017) Full-Duplex Relaying with Improper Gaussian Signaling over Nakagami-m Fading Channels. IEEE Transactions on Communications: 1–1. Available: http://dx.doi.org/10.1109/TCOMM.2017.2759109.en
dc.identifier.issn0090-6778en
dc.identifier.doi10.1109/TCOMM.2017.2759109en
dc.identifier.urihttp://hdl.handle.net/10754/625969-
dc.description.abstractWe study the potential employment of improper Gaussian signaling (IGS) in full-duplex relaying (FDR) with non-negligible residual self-interference (RSI) under Nakagami- m fading. IGS is recently shown to outperform traditional proper Gaussian signaling (PGS) in several interference-limited settings. In this work, IGS is employed as an attempt to alleviate RSI. We use two performance metrics, namely, the outage probability and the ergodic rate. First, we provide upper and lower bounds for the system performance in terms of the relay transmit power and circularity coefficient, a measure of the signal impropriety. Then, we numerically optimize the relay signal parameters based only on the channel statistics to improve the system performance. Based on the analysis, IGS allows FDR to operate even with high RSI. The results show that IGS can leverage higher power budgets to enhance the performance, meanwhile it relieves RSI impact via tuning the signal impropriety. Interestingly, one-dimensional optimization of the circularity coefficient, with maximum relay power, offers a similar performance as the joint optimization, which reduces the optimization complexity. From a throughput standpoint, it is shown that IGS-FDR can outperform not only PGS-FDR, but also half-duplex relaying with/without maximum ratio combining over certain regions of the target source rate.en
dc.description.sponsorshipThe research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST).en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/8057834/en
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.subjectasymmetric complex signalingen
dc.subjectcoordinate descenten
dc.subjectergodic rateen
dc.subjectfull-duplex relayen
dc.subjectimproper Gaussian signalingen
dc.subjectInterferenceen
dc.subjectinterference mitigationen
dc.subjectoutage probabilityen
dc.subjectPower system reliabilityen
dc.subjectProbabilityen
dc.subjectRayleigh channelsen
dc.subjectRelaysen
dc.subjectresidual self-interferenceen
dc.subjectUpper bounden
dc.titleFull-Duplex Relaying with Improper Gaussian Signaling over Nakagami-m Fading Channelsen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalIEEE Transactions on Communicationsen
dc.eprint.versionPost-printen
dc.contributor.institutionInformation Theory and Applications Chair, Technische Universität Berlin, Germany.en
dc.contributor.institutionComputer Science and Engineering Department, College of Engineering, Qatar University, Doha, Qatar.en
kaust.authorGaafar, Mohameden
kaust.authorKhafagy, Mohammad Galalen
kaust.authorAmin, Osamaen
kaust.authorAlouini, Mohamed-Slimen
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