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Aiming at the limited battery capacity of widely deployed low-power smartdevices in the Internet-of-things (IoT), this paper proposes a novelintelligent reflecting surface (IRS) empowered unmanned aerial vehicle (UAV)simultaneous wireless information and power transfer (SWIPT) network framework,in which IRS is used to reconstruct the wireless channel to enhance thewireless energy transmission efficiency and coverage area of the UAV SWIPTnetworks. In this paper, we formulate an achievable sum-rate maximizationproblem by jointly optimizing UAV trajectory, successive interferencecancellation (SIC) decoding order, UAV transmit power allocation, powersplitting (PS) ratio and IRS reflection coefficient while taking account ofuser non-orthogonal multiple access (NOMA) and a non-linear energy harvestingmodel. Due to the coupling of optimization variables, this problem is a complexnon-convex optimization problem, and it is challenging to solve it directly. Wefirst transform the problem, and then apply the alternating optimization (AO)algorithm framework to divide the transformed problem into four sub-problems tosolve it. Specifically, by applying successive convex approximation (SCA),penalty function method and difference-convex (DC) programming, UAV trajectory,SIC decoding order, UAV transmit power allocation, PS ratio and IRS reflectioncoefficient are alternately optimized until the convergence is achieved.Numerical simulation results verify the effectiveness of our proposed algorithmcompared to other algorithms.

Joint Communication and Trajectory Design for Intelligent Reflecting Surface Empowered UAV SWIPT Networks