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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.accessioned2020-06-17T13:33:55Z
dc.date.available2020-06-17T13:33:55Z
dc.date.issued2020-06-01
dc.identifier.urihttp://hdl.handle.net/10754/663650.1
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.publisherarXiv
dc.relation.urlhttps://arxiv.org/pdf/2006.00899
dc.rightsArchived with thanks to arXiv
dc.titleAnalog Versus Hybrid Precoding for Multiuser Massive MIMO with Quantized CSI Feedback
dc.typePreprint
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.eprint.versionPre-print
dc.contributor.institutionNational Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China.
dc.contributor.institutionNational Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China, and is also with the Purple Mountain Laboratories, Nanjing 210000, China.
dc.contributor.institutionDepartment of Computer and Information Sciences, Northumbria University, Newcastle, UK.
dc.identifier.arxivid2006.00899
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2020-06-17T13:34:19Z


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