Analysis of DF relay selection in massive MIMO systems with hardware ımpairments

buir.contributor.authorDuman, Tolga M.
dc.citation.epage6152en_US
dc.citation.issueNumber6en_US
dc.citation.spage6141en_US
dc.citation.volumeNumber69en_US
dc.contributor.authorKazemi, M.
dc.contributor.authorMohammadi, A.
dc.contributor.authorDuman, Tolga M.
dc.date.accessioned2021-02-18T11:36:13Z
dc.date.available2021-02-18T11:36:13Z
dc.date.issued2020
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractWe consider a massive multiple-input multiple-output (m-MIMO) system in which a source communicates with a destination with the help of multiple single-antenna decode-and-forward (DF) relays. Employing optimal relay selection, we analyze the system performance in presence of hardware impairments (HWI) for two m-MIMO scenarios: massive-antenna source and single-antenna destination (m-MIMO I), and massive-antenna source and destination (m-MIMO II). We obtain lower bounds on the average signal-to-noise plus distortion ratio (SNDR) of the system and show that in the m-MIMO II regime, the HWI levels at the relays become the only limiting factors. Employing extreme value theory, we demonstrate that as the number of relays increases the end-to-end SNDR of the system tends to Gumbel and Weibull distributions for the m-MIMO I and m-MIMO II systems, respectively. In addition, for both arbitrary numbers of source and destination antennas and m-MIMO scenarios, we provide closed form expressions for optimal power allocation between the source and the selected relay, and the effects of HWI level distributions between the receiving and the transmitting parts of the relay (which can be exploited for optimal system design under cost constraints).en_US
dc.description.provenanceSubmitted by Onur Emek (onur.emek@bilkent.edu.tr) on 2021-02-18T11:36:13Z No. of bitstreams: 1 Efficient_Estimation_of_Graph_Signals_With_Adaptive_Sampling.pdf: 3326173 bytes, checksum: 8ffd5c8988cd565fe900658caf24ffce (MD5)en
dc.description.provenanceMade available in DSpace on 2021-02-18T11:36:13Z (GMT). No. of bitstreams: 1 Efficient_Estimation_of_Graph_Signals_With_Adaptive_Sampling.pdf: 3326173 bytes, checksum: 8ffd5c8988cd565fe900658caf24ffce (MD5) Previous issue date: 2020en
dc.description.sponsorshipThe work of M. Kazemi and A. Mohammadi was supported by Iran National Science Foundation (INSF) under Agreement 96007127.en_US
dc.identifier.doi10.1109/TVT.2020.2968874en_US
dc.identifier.issn0018-9545
dc.identifier.urihttp://hdl.handle.net/11693/75456
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://dx.doi.org/10.1109/TVT.2020.2968874en_US
dc.source.titleIEEE Transactions on Vehicular Technologyen_US
dc.subjectDF relay selectionen_US
dc.subjectHardware impairmentsen_US
dc.subjectMassive MIMOen_US
dc.subjectExtreme value theoryen_US
dc.subjectScalabilityen_US
dc.titleAnalysis of DF relay selection in massive MIMO systems with hardware ımpairmentsen_US
dc.typeArticleen_US

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