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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16731
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dc.contributor.authorJoshi, Sandeep-
dc.contributor.authorChaubey, Vinod Kumar-
dc.date.accessioned2025-01-07T10:08:33Z-
dc.date.available2025-01-07T10:08:33Z-
dc.date.issued2024-08-
dc.identifier.urihttps://ieeexplore.ieee.org/abstract/document/10631592-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16731-
dc.description.abstractIn this paper, we provide a channel estimation-based optimization technique for maximizing the weighted sum rate (WSR) of an intelligent reflecting surface (IRS)-aided unmanned aerial vehicle (UAV). The model considers an IRS mounted on a UAV to predict the channel between the multi-input base station (BS) for the multi-user system using mobile IRS-aided wireless channels. We optimize the UAV position and then employ a compressive sensing-based technique that exploits the sparsity of the wireless channel, specifically, we utilize the Bayesian iterative group approximate message passing (BIG-AMP) algorithm. The strategy involves mobile IRS for efficient message passing and estimation of the channel state information between the BS and users. Using these channel estimates, we maximize the WSR for all the users by optimizing the precoding matrix at the BS and also the phase matrix at the mobile IRS.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectEEEen_US
dc.subjectBayesian iterative group approximate message passing (BIG-AMP)en_US
dc.subjectChannel state informationen_US
dc.subjectIntelligent reflecting surface (IRS)en_US
dc.subjectWeighted sum rate (WSR)en_US
dc.titleChannel Estimation-Based Rate Maximization for IRS-Aided UAV Wireless Communication Systemsen_US
dc.typeArticleen_US
Appears in Collections:Department of Electrical and Electronics Engineering

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