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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
Title: Channel Estimation-Based Rate Maximization for IRS-Aided UAV Wireless Communication Systems
Authors: Joshi, Sandeep
Chaubey, Vinod Kumar
Keywords: EEE
Bayesian iterative group approximate message passing (BIG-AMP)
Channel state information
Intelligent reflecting surface (IRS)
Weighted sum rate (WSR)
Issue Date: Aug-2024
Publisher: IEEE
Abstract: In 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.
URI: https://ieeexplore.ieee.org/abstract/document/10631592
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16731
Appears in Collections:Department of Electrical and Electronics Engineering

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