Channel reconstruction based multiuser precoding with limited feedback

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buir.contributor.authorÖzateş, Mert
buir.contributor.authorKazemi, Mohammad
buir.contributor.authorDuman, Tolga M.
buir.contributor.orcidKazemi, Mohammad|0000-0001-5177-1874
dc.citation.epage6en_US
dc.citation.spage1en_US
dc.contributor.authorÖzateş, Mert
dc.contributor.authorKazemi, Mohammad
dc.contributor.authorGöken, Çağrı
dc.contributor.authorDuman, Tolga M.
dc.coverage.spatialBucharest, Romaniaen_US
dc.date.accessioned2022-01-28T06:51:26Z
dc.date.available2022-01-28T06:51:26Z
dc.date.issued2021-09-06
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionConference Name: 2021 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)en_US
dc.descriptionDate of Conference: 24-28 May 2021en_US
dc.description.abstractWe consider the downlink of a multiuser multiple-input multiple-output (MU-MIMO) system, where each user feeds back a partial channel state information (CSI), namely, the quantized version of the dominant eigenvector of its channel covariance matrix, to the base station (BS) for precoding. Specifically, we propose a downlink multiuser precoding scheme by first reconstructing the equivalent channel matrix of each user via a limited feedback, and then by employing a precoder to suppress the multiuser interference at the receivers. For the single stream case, a signal-to-leakage-and-noise ratio (SLNR) based precoding is employed, while for the full stream case with limited feedback, we employ a lattice reduction aided block diagonalization type precoding with suitable modifications at the receiver side. Extensive numerical examples which are provided using the 5G new radio (5G-NR) channel models demonstrate that the proposed schemes outperform the existing eigenvector based algorithms, and they are more robust against the downlink channel estimation errors.en_US
dc.description.provenanceSubmitted by Betül Özen (ozen@bilkent.edu.tr) on 2022-01-28T06:51:26Z No. of bitstreams: 1 Channel_Reconstruction_Based_Multiuser_Precoding_with_Limited_Feedback.pdf: 345978 bytes, checksum: f2d1aa41bd6827e1049f7e5e3214ce53 (MD5)en
dc.description.provenanceMade available in DSpace on 2022-01-28T06:51:26Z (GMT). No. of bitstreams: 1 Channel_Reconstruction_Based_Multiuser_Precoding_with_Limited_Feedback.pdf: 345978 bytes, checksum: f2d1aa41bd6827e1049f7e5e3214ce53 (MD5) Previous issue date: 2021-09-06en
dc.identifier.doi10.1109/BlackSeaCom52164.2021.9527824en_US
dc.identifier.eisbn978-1-6654-0308-5
dc.identifier.isbn978-1-6654-3098-2
dc.identifier.urihttp://hdl.handle.net/11693/76855
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://dx.doi.org/10.1109/BlackSeaCom52164.2021.9527824en_US
dc.source.titleInternational Black Sea Conference on Communications and Networking (BlackSeaCom)en_US
dc.subjectMultiuser MIMOen_US
dc.subjectLimited feedbacken_US
dc.subjectChannel reconstructionen_US
dc.subjectSLNRen_US
dc.subjectLattice reductionen_US
dc.subject5G-NRen_US
dc.titleChannel reconstruction based multiuser precoding with limited feedbacken_US
dc.typeConference Paperen_US

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