Sparse coding with enhanced atom selection for FDD massive MIMO channel estimation

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dc.authorid0000-0003-3375-0310
dc.authorid0000-0002-1797-8238
dc.authorid0000-0001-9474-7372
dc.contributor.authorNazzal, Mahmoud
dc.contributor.authorAygül, Mehmet Ali
dc.contributor.authorArslan, Hüseyin
dc.date.accessioned2022-01-31T11:56:03Z
dc.date.available2022-01-31T11:56:03Z
dc.date.issued2021
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü
dc.description.abstractIn sparse coding-based channel estimation, atom selection is based on jointly minimizing the sparsity and the error of the representation of the noisy measurement. However, this selection is not necessarily optimal in terms of minimizing the channel estimation error. This calls for better ways of atom selection. Accordingly, we propose an algorithm for improved atom selection in sparse coding for frequency division duplex (FDD) massive multiple-input-multiple-output (MIMO) downlink channel estimation. The proposed algorithm performs iterative atom selection based on two residuals. First is the received signal residual used to guide on a small selection pool of candidate atoms. Second is the residual of an initial channel estimate which is used to pick the best atom within the selection pool. Simulation results show the advantage of the proposed algorithm over standard sparse coding-based channel estimation. Moreover, the proposed algorithm eliminates the need for cell-specific trained dictionaries without sacrificing the performance. Furthermore, the proposed sparse coding can be applied in the process of dictionary learning to train for improved dictionaries achieving further performance enhancement.
dc.identifier.citationNazzal, M., Aygül, M. A. ve Arslan, H. (2021). Sparse coding with enhanced atom selection for FDD massive MIMO channel estimation. 94th IEEE Vehicular Technology Conference (VTC-Fall). Virtual, 27-30 September 2021. https://dx.doi.org/10.1109/VTC2021-Fall52928.2021.9625408
dc.identifier.doi10.1109/VTC2021-Fall52928.2021.9625408
dc.identifier.isbn9781665413688
dc.identifier.issn1550-2252
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://dx.doi.org/10.1109/VTC2021-Fall52928.2021.9625408
dc.identifier.urihttps://hdl.handle.net/20.500.12511/8945
dc.identifier.volume2021
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.eceu-repo/grantAgreement/TUBITAK/SOBAG/119E433
dc.relation.ispartof94th IEEE Vehicular Technology Conference (VTC-Fall)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectAtom Selection Criteria
dc.subjectChannel Estimation
dc.subjectFDD
dc.subjectMassive MIMO
dc.subjectSparse Coding
dc.titleSparse coding with enhanced atom selection for FDD massive MIMO channel estimation
dc.typeConference Object

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