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Analog Versus Hybrid Precoding for Multiuser Massive MIMO with Quantized CSI Feedback

dc.contributor.authorZhao, Yaqiong
dc.contributor.authorXu, Wei
dc.contributor.authorXu, Jindan
dc.contributor.authorJin, Shi
dc.contributor.authorWang, Kezhi
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2020-09-20T08:04:09Z
dc.date.available2020-06-17T13:33:55Z
dc.date.available2020-09-20T08:04:09Z
dc.date.issued2020-06-03
dc.identifier.citationZhao, Y., Xu, W., Xu, J., Jin, S., Wang, K., & Alouini, M.-S. (2020). Analog Versus Hybrid Precoding for Multiuser Massive MIMO with Quantized CSI Feedback. IEEE Communications Letters, 1–1. doi:10.1109/lcomm.2020.2999646
dc.identifier.issn1089-7798
dc.identifier.issn1558-2558
dc.identifier.issn2373-7891
dc.identifier.doi10.1109/lcomm.2020.2999646
dc.identifier.urihttp://hdl.handle.net/10754/663650
dc.description.abstractIn this letter, we study the performance of a downlink multiuser massive multiple-input multiple-output (MIMO) system with sub connected structure over limited feedback channels. Tight rate approximations are theoretically analyzed for the system with pure analog precoding and hybrid precoding. The effect of quantized analog and digital precoding is characterized in the derived expressions. Furthermore, it is revealed that the pure analog precoding outperforms the hybrid precoding using maximal-ratio transmission (MRT) or zero forcing (ZF) under certain conditions, and we theoretically characterize the conditions in closed form with respect to signal-to-noise ratio (SNR), the number of users and the number of feedback bits. Numerical results verify the derived conclusions on both Rayleigh channels and mmWave channels.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9107073/
dc.rights(c) 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.
dc.titleAnalog Versus Hybrid Precoding for Multiuser Massive MIMO with Quantized CSI Feedback
dc.typeArticle
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Communications Letters
dc.eprint.versionPost-print
dc.contributor.institutionNational Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China.
dc.contributor.institutionThe Purple Mountain Laboratories, Nanjing 210000, China.
dc.contributor.institutionThe Department of Computer and Information Sciences, Northumbria University, Newcastle, UK.
dc.identifier.pages1-1
dc.identifier.arxivid2006.00899
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2020-06-17T13:34:19Z
dc.date.published-online2020-06-03
dc.date.published-print2020-10
dc.date.posted2020-06-01


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210754/663650*Hina Iftikhar2020-09-20T08:03:07ZPublished in journal
110754/663650.1KAUST Repository2020-06-17T13:33:55Z

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