Please use this identifier to cite or link to this item: http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/3542
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dc.contributor.authorSingh, R.-
dc.contributor.authorKumbhani, B.-
dc.date.accessioned2022-06-23T12:59:15Z-
dc.date.available2022-06-23T12:59:15Z-
dc.date.issued2022-06-23-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3542-
dc.description.abstractThis letter discusses the rationale of Intelligent Reflecting Surface (IRS) based transmission, state-of-the-art methods available for IRS training, and their challenges. Though IRS is known for its ability to constructively combine several multipath components by using their phase information, extracting the phase information for a large number of IRS elements requires extensive training overhead. This work proposes a multi-mode grouping method for low overhead IRS training and moderate combining benefit. Moreover, the letter includes directions to adaptively utilize user’s mobility and(or) quality of service requirement for the appropriate mode selection.en_US
dc.language.isoen_USen_US
dc.subjectChannel estimationen_US
dc.subjectChannel State Estimationen_US
dc.subjectEstimationen_US
dc.subjectIntelligent Reflecting Surfaceen_US
dc.subjectQuality of serviceen_US
dc.subjectReceiversen_US
dc.subjectSignal to noise ratioen_US
dc.subjectTrainingen_US
dc.subjectWireless communicationen_US
dc.titleHow to Train Intelligent Reflecting Surfaces?en_US
dc.typeArticleen_US
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