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dc.contributor.authorPapazafeiropoulos, Anastasios K.
dc.contributor.authorRatnarajah, Tharmalingam
dc.date.accessioned2018-03-06T18:07:24Z
dc.date.available2018-03-06T18:07:24Z
dc.date.issued2015-10-01
dc.identifier.citationPapazafeiropoulos , A K & Ratnarajah , T 2015 , ' Deterministic equivalent performance analysis of time-varying massive MIMO systems ' , IEEE Transactions on Wireless Communications , vol. 14 , no. 10 , 7120183 , pp. 5795-5809 . https://doi.org/10.1109/TWC.2015.2443040
dc.identifier.issn1536-1276
dc.identifier.otherPURE: 13265568
dc.identifier.otherPURE UUID: b4c963e9-d11d-4bc6-ac1d-51794d8888e9
dc.identifier.otherScopus: 84960111562
dc.identifier.otherORCID: /0000-0003-1841-6461/work/62751636
dc.identifier.urihttp://hdl.handle.net/2299/19872
dc.description© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstractDelayed channel state information at the transmitter (CSIT) due to time variation of the channel, coming from the users' relative movement with regard to the BS antennas, is an inevitable degrading performance factor in practical systems. Despite its importance, little attention has been paid to the literature of multi-cellular multiple-input massive multiple-output (MIMO) system by investigating only the maximal ratio combining (MRC) receiver and the maximum ratio transmission (MRT) precoder. Hence, the contribution of this work is designated by the performance analysis/comparison of/with more sophisticated linear techniques, i.e., a minimum-mean-square-error (MMSE) detector for the uplink and a regularized zero-forcing (RZF) precoder for the downlink are assessed. In particular, we derive the deterministic equivalents of the signal-to-interference-plus-noise ratios (SINRs), which capture the effect of delayed CSIT, and make the use of lengthy Monte Carlo simulations unnecessary. Furthermore, prediction of the current CSIT after applying a Wiener filter allows to evaluate the mitigation capabilities of MMSE and RZF. Numerical results depict that the proposed achievable SINRs (MMSE/RZF) are more efficient than simpler solutions (MRC/MRT) in delayed CSIT conditions, and yield a higher prediction at no special computational cost due to their deterministic nature. Nevertheless, it is shown that massive MIMO are preferable even in time-varying channel conditions.en
dc.format.extent15
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Wireless Communications
dc.subjectchannel estimation
dc.subjectchannel prediction
dc.subjectdelayed CSIT
dc.subjectlinear detection
dc.subjectlinear precoding
dc.subjectMassive MIMO
dc.subjectComputer Science Applications
dc.subjectElectrical and Electronic Engineering
dc.subjectApplied Mathematics
dc.titleDeterministic equivalent performance analysis of time-varying massive MIMO systemsen
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Engineering and Technology
dc.contributor.institutionCommunications and Intelligent Systems
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84960111562&partnerID=8YFLogxK
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1109/TWC.2015.2443040
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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