Distributed IRS With Statistical Passive Beamforming for MISO Communications
dc.contributor.author | Gao, Yuwei | |
dc.contributor.author | Xu, Jindan | |
dc.contributor.author | Xu, Wei | |
dc.contributor.author | Ng, Derrick Wing Kwan | |
dc.contributor.author | Alouini, Mohamed-Slim | |
dc.date.accessioned | 2021-02-22T06:23:22Z | |
dc.date.available | 2021-02-22T06:23:22Z | |
dc.date.issued | 2021-02 | |
dc.identifier.citation | Gao, 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.issn | 2162-2337 | |
dc.identifier.issn | 2162-2345 | |
dc.identifier.doi | 10.1109/lwc.2020.3024952 | |
dc.identifier.uri | http://hdl.handle.net/10754/667545 | |
dc.description.abstract | Intelligent 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.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.url | https://ieeexplore.ieee.org/document/9200774/ | |
dc.relation.url | http://arxiv.org/pdf/2009.06286 | |
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.rights | This file is an open access version redistributed from: http://arxiv.org/pdf/2009.06286 | |
dc.subject | Intelligent reflecting surface (IRS) | |
dc.subject | ergodic achievable rate | |
dc.subject | passive beamfoming | |
dc.subject | channel estimation | |
dc.title | Distributed IRS With Statistical Passive Beamforming for MISO Communications | |
dc.type | Article | |
dc.contributor.department | Communication Theory Lab | |
dc.contributor.department | Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division | |
dc.contributor.department | Electrical and Computer Engineering Program | |
dc.contributor.department | Physical Science and Engineering (PSE) Division | |
dc.identifier.journal | IEEE Wireless Communications Letters | |
dc.eprint.version | Post-print | |
dc.contributor.institution | National Mobile Communications Research Laboratory, Southeast University, Nanjing, China | |
dc.contributor.institution | Purple Mountain Laboratories, Nanjing, China | |
dc.contributor.institution | School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia | |
dc.identifier.volume | 10 | |
dc.identifier.issue | 2 | |
dc.identifier.pages | 221-225 | |
dc.identifier.arxivid | 2009.06286 | |
kaust.person | Alouini, Mohamed-Slim | |
refterms.dateFOA | 2022-10-19T13:49:33Z |
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