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dc.contributor.authorElkhalil, Khalil
dc.contributor.authorEltayeb, Mohammed
dc.contributor.authorKammoun, Abla
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.contributor.authorBahrami, Hamid Reza
dc.date.accessioned2016-11-03T06:58:29Z
dc.date.available2016-11-03T06:58:29Z
dc.date.issued2016-08-11
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.
dc.identifier.doi10.1109/SPAWC.2016.7536773
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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectcompressive sensing
dc.subjectdecode-and-forward
dc.subjectFeedback
dc.subjectfull-duplex relaying
dc.subjectscheduling
dc.titleBlock compressed sensing for feedback reduction in relay-aided multiuser full duplex networks
dc.typeConference Paper
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
dc.conference.date3 July 2016 through 6 July 2016
dc.conference.name17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Texas at Austin, United States
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of AkronOH, United States
kaust.personElkhalil, Khalil
kaust.personKammoun, Abla
kaust.personAl-Naffouri, Tareq Y.


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