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dc.contributor.authorGao, Yuwei
dc.contributor.authorXu, Jindan
dc.contributor.authorXu, Wei
dc.contributor.authorNg, Derrick Wing Kwan
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2021-02-22T06:23:22Z
dc.date.available2021-02-22T06:23:22Z
dc.date.issued2021-02
dc.identifier.citationGao, Y., Xu, J., Xu, W., Ng, D. W. K., & Alouini, M.-S. (2021). Distributed IRS With Statistical Passive Beamforming for MISO Communications. IEEE Wireless Communications Letters, 10(2), 221–225. doi:10.1109/lwc.2020.3024952
dc.identifier.issn2162-2337
dc.identifier.issn2162-2345
dc.identifier.doi10.1109/lwc.2020.3024952
dc.identifier.urihttp://hdl.handle.net/10754/667545
dc.description.abstractIntelligent reflecting surface (IRS) has recently been identified as a prominent technology with the ability of enhancing wireless communication by dynamically manipulating the propagation environment. This letter investigates a multiple-input single-output (MISO) system deploying distributed IRSs. For practical considerations, we propose an efficient design of passive reflecting beamforming for the IRSs to exploit statistical channel state information (CSI) and analyze the achievable rate of the network taking into account the impact of CSI estimation error. The ergodic achievable rate is derived in a closed form, which provides insightful system design guidelines. Numerical results confirm the accuracy of the derived results and unveil the performance superiority of the proposed distributed IRS deployment over the conventional centralized deployment.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9200774/
dc.rights(c) 2021 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.subjectIntelligent reflecting surface (IRS)
dc.subjectergodic achievable rate
dc.subjectpassive beamfoming
dc.subjectchannel estimation
dc.titleDistributed IRS With Statistical Passive Beamforming for MISO Communications
dc.typeArticle
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalIEEE Wireless Communications Letters
dc.eprint.versionPost-print
dc.contributor.institutionNational Mobile Communications Research Laboratory, Southeast University, Nanjing, China
dc.contributor.institutionPurple Mountain Laboratories, Nanjing, China
dc.contributor.institutionSchool of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia
dc.identifier.volume10
dc.identifier.issue2
dc.identifier.pages221-225
dc.identifier.arxivid2009.06286
kaust.personAlouini, Mohamed-Slim


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