Coherence Optimized Channel Estimation for Mm-Wave Massive MIMO

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dc.contributor.authorAkram, Faisal
dc.contributor.authorRashid, Imran
dc.contributor.authorGhafoor, Abdul
dc.contributor.authorSiddiqui, Adil Masood
dc.coverage.issue4cs
dc.coverage.volume29cs
dc.date.accessioned2021-04-30T12:26:28Z
dc.date.available2021-04-30T12:26:28Z
dc.date.issued2020-12cs
dc.description.abstractMm-wave MIMO communication makes a hybrid combination of analog RF and digital baseband processing more attractive, where digital baseband precoders/combiners able to adapt to the pre-defined analog (switch based) RF processors. Non-uniform two-dimensional quantized azimuth and elevation angle grid antenna array responses are suggested for uniform planar array (UPA) and are proven orthogonal. Training vectors (or sensing matrix) are designed for suggested antenna array response with unitary RF processing for UPA in mm-wave hybrid MIMO system. Proposed training vectors achieve minimized total coherence of the equivalent sensing matrix for hybrid MIMO system. Open-loop channel estimation of the mm-wave channel is done by using iterative re-weight based super resolution algorithm to exploit its sparse nature. Extensive simulations reveal the benefit of coherence optimization where normalized mean squared error is reduced and spectral efficiency is improved in comparison to existing methods.en
dc.formattextcs
dc.format.extent625-635cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2020 vol. 29, č. 4, s. 625-635. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2020.0625en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/196617
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2020/20_04_0625_0635.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectChannel estimationen
dc.subjectcompressed sensingen
dc.subjecthybrid MIMOen
dc.subjectmm-wave communicationen
dc.subjectsparse channel.en
dc.titleCoherence Optimized Channel Estimation for Mm-Wave Massive MIMOen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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