Block compressed sensing for feedback reduction in relay-aided multiuser full duplex networks

Handle URI:
http://hdl.handle.net/10754/621360
Title:
Block compressed sensing for feedback reduction in relay-aided multiuser full duplex networks
Authors:
Elkhalil, Khalil ( 0000-0001-7656-3246 ) ; Eltayeb, Mohammed; Kammoun, Abla ( 0000-0002-0195-3159 ) ; Al-Naffouri, Tareq Y. ( 0000-0003-2843-5084 ) ; Bahrami, Hamid Reza
Abstract:
Opportunistic user selection is a simple technique that exploits the spatial diversity in multiuser relay-aided networks. Nonetheless, channel state information (CSI) from all users (and cooperating relays) is generally required at a central node in order to make selection decisions. Practically, CSI acquisition generates a great deal of feedback overhead that could result in significant transmission delays. In addition to this, the presence of a full-duplex cooperating relay corrupts the fed back CSI by additive noise and the relay's loop (or self) interference. This could lead to transmission outages if user selection is based on inaccurate feedback information. In this paper, we propose an opportunistic full-duplex feedback algorithm that tackles the above challenges. We cast the problem of joint user signal-to-noise ratio (SNR) and the relay loop interference estimation at the base-station as a block sparse signal recovery problem in compressive sensing (CS). Using existing CS block recovery algorithms, the identity of the strong users is obtained and their corresponding SNRs are estimated. Numerical results show that the proposed technique drastically reduces the feedback overhead and achieves a rate close to that obtained by techniques that require dedicated error-free feedback from all users. Numerical results also show that there is a trade-off between the feedback interference and load, and for short coherence intervals, full-duplex feedback achieves higher throughput when compared to interference-free (half-duplex) feedback. © 2016 IEEE.
KAUST Department:
Electrical Engineering Program
Citation:
Elkhalil K, Eltayeb M, Kammoun A, Al-Naffouri TY, Bahrami HR (2016) Block compressed sensing for feedback reduction in relay-aided multiuser full duplex networks. 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). Available: http://dx.doi.org/10.1109/SPAWC.2016.7536773.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Conference/Event name:
17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016
Issue Date:
11-Aug-2016
DOI:
10.1109/SPAWC.2016.7536773
Type:
Conference Paper
Appears in Collections:
Conference Papers; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorElkhalil, Khalilen
dc.contributor.authorEltayeb, Mohammeden
dc.contributor.authorKammoun, Ablaen
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.contributor.authorBahrami, Hamid Rezaen
dc.date.accessioned2016-11-03T06:58:29Z-
dc.date.available2016-11-03T06:58:29Z-
dc.date.issued2016-08-11en
dc.identifier.citationElkhalil K, Eltayeb M, Kammoun A, Al-Naffouri TY, Bahrami HR (2016) Block compressed sensing for feedback reduction in relay-aided multiuser full duplex networks. 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). Available: http://dx.doi.org/10.1109/SPAWC.2016.7536773.en
dc.identifier.doi10.1109/SPAWC.2016.7536773en
dc.identifier.urihttp://hdl.handle.net/10754/621360-
dc.description.abstractOpportunistic user selection is a simple technique that exploits the spatial diversity in multiuser relay-aided networks. Nonetheless, channel state information (CSI) from all users (and cooperating relays) is generally required at a central node in order to make selection decisions. Practically, CSI acquisition generates a great deal of feedback overhead that could result in significant transmission delays. In addition to this, the presence of a full-duplex cooperating relay corrupts the fed back CSI by additive noise and the relay's loop (or self) interference. This could lead to transmission outages if user selection is based on inaccurate feedback information. In this paper, we propose an opportunistic full-duplex feedback algorithm that tackles the above challenges. We cast the problem of joint user signal-to-noise ratio (SNR) and the relay loop interference estimation at the base-station as a block sparse signal recovery problem in compressive sensing (CS). Using existing CS block recovery algorithms, the identity of the strong users is obtained and their corresponding SNRs are estimated. Numerical results show that the proposed technique drastically reduces the feedback overhead and achieves a rate close to that obtained by techniques that require dedicated error-free feedback from all users. Numerical results also show that there is a trade-off between the feedback interference and load, and for short coherence intervals, full-duplex feedback achieves higher throughput when compared to interference-free (half-duplex) feedback. © 2016 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectcompressive sensingen
dc.subjectdecode-and-forwarden
dc.subjectFeedbacken
dc.subjectfull-duplex relayingen
dc.subjectschedulingen
dc.titleBlock compressed sensing for feedback reduction in relay-aided multiuser full duplex networksen
dc.typeConference Paperen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journal2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)en
dc.conference.date3 July 2016 through 6 July 2016en
dc.conference.name17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016en
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Texas at Austin, United Statesen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of AkronOH, United Statesen
kaust.authorElkhalil, Khalilen
kaust.authorKammoun, Ablaen
kaust.authorAl-Naffouri, Tareq Y.en
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