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dc.contributor.authorElzanaty, Ahmed
dc.contributor.authorGuerra, Anna
dc.contributor.authorGuidi, Francesco
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2020-09-13T13:27:33Z
dc.date.available2020-09-13T13:27:33Z
dc.date.issued2020-09-06
dc.identifier.urihttp://hdl.handle.net/10754/665101
dc.description.abstractNext-generation cellular networks will witness the creation of smart radio environments (SREs), where walls and objects can be coated with reconfigurable intelligent surfaces (RISs) to strengthen the communication and localization coverage by controlling the reflected multipath. In fact, RISs have been recently introduced not only to overcome communication blockages due to obstacles but also for high-precision localization of mobile users in GPS denied environments, e.g., indoors. Towards this vision, this paper presents the localization performance limits for communication scenarios where a single next-generation NodeB base station (gNB), equipped with multiple-antennas, infers the position and the orientation of the user equipment(UE) in a RIS-assisted SRE. We consider a signal model that is valid also for near-field propagation conditions, as the usually adopted far-field assumption does not always hold, especially for large RISs. For the considered scenario, we derive the Cramer-Rao lower bound (CRLB) for assessing the ultimate localization and orientation performance of synchronous and asynchronous signaling schemes. In addition, we propose a closed-form RIS phase profile that well suits joint communication and localization. We perform extensive numerical results to assess the performance of our scheme for various localization scenarios and RIS phase design. Numerical results show that the proposed scheme can achieve remarkable performance, even in asynchronous signaling and that the proposed phase design approaches the numerical optimal phase design that minimizes the CRLB.
dc.description.sponsorshipAuthors wish to thank D. Dardari for motivating this work and A. Abdelhady for the useful discussion about the optimization problem.
dc.publisherarXiv
dc.relation.urlhttps://arxiv.org/pdf/2009.02818
dc.rightsArchived with thanks to arXiv
dc.subjectReconfigurable intelligent surfaces;
dc.subjectsingle-anchor localization
dc.subjectattitude estimation
dc.subjectnear-field localization
dc.subjectCramér-Rao lower bound
dc.titleReconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds
dc.typePreprint
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.eprint.versionPre-print
dc.contributor.institutionWiLAB, University of Bologna, Italy
dc.contributor.institutionCNR-IEIIT, Italy
dc.identifier.arxivid2009.02818
kaust.personElzanaty, Ahmed Mohamed
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2020-09-13T13:27:34Z


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