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dc.contributor.authorHu, Xiaoling
dc.contributor.authorZhong, Caijun
dc.contributor.authorAlouini, Mohamed-Slim
dc.contributor.authorZhang, Zhaoyang
dc.date.accessioned2020-09-14T13:22:32Z
dc.date.available2020-09-14T08:31:08Z
dc.date.available2020-09-14T13:22:32Z
dc.date.issued2020
dc.identifier.citationHu, X., Zhong, C., Alouini, M.-S., & Zhang, Z. (2020). Robust Design for IRS-Aided Communication Systems with User Location Uncertainty. IEEE Wireless Communications Letters, 1–1. doi:10.1109/lwc.2020.3020850
dc.identifier.issn2162-2345
dc.identifier.doi10.1109/LWC.2020.3020850
dc.identifier.urihttp://hdl.handle.net/10754/665118
dc.description.abstractIn this paper, we propose a robust design framework for IRS-aided communication systems in the presence of user location uncertainty. By jointly designing the transmit beamforming vector at the BS and phase shifts at the IRS, we aim to minimize the transmit power subject to the worse-case quality of service (QoS) constraint, i.e., ensuring the user rate is above a threshold for all possible user location error realizations. With unit-modulus, this problem is not convex. The location uncertainty in the QoS constraint further increases the difficulty of solving this problem. By utilizing techniques of Taylor expansion, S-Procedure and semidefinite relaxation (SDP), we transform this problem into a sequence of semidefinite programming (SDP) sub-problems. Simulation results show that the proposed robust algorithm substantially outperforms the non-robust algorithm proposed in the literature, in terms of probability of reaching the required QoS target.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9184012/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9184012
dc.rightsArchived with thanks to IEEE Wireless Communications Letters
dc.subjectIRS
dc.subjectrobust beamforming
dc.subjectSDP.
dc.titleRobust Design for IRS-Aided Communication Systems with User Location Uncertainty
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 Wireless Communications Letters
dc.eprint.versionPost-print
dc.contributor.institutionCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China, and also with the Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, Hangzhou.
dc.identifier.arxivid2008.11864
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2020-09-14T08:31:54Z
dc.date.posted2020-08-27


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