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This paper studies intelligent reflecting surface (IRS)-aided full-duplex(FD) wireless-powered communication network (WPCN), where a hybrid access point(HAP) broadcasts energy signals to multiple devices for their energy harvestingin the downlink (DL) and meanwhile receives information signals in the uplink(UL) with the help of IRS. Particularly, we propose three types of IRSbeamforming configurations to strike a balance between the system performanceand signaling overhead as well as implementation complexity. We first proposethe fully dynamic IRS beamforming, where the IRS phase-shift vectors vary witheach time slot for both DL wireless energy transfer (WET) and UL wirelessinformation transmission (WIT). To further reduce signaling overhead andimplementation complexity, we then study two special cases, namely, partiallydynamic IRS beamforming and static IRS beamforming. For the former case, twodifferent phase-shift vectors can be exploited for the DL WET and the UL WIT,respectively, whereas for the latter case, the same phase-shift vector needs tobe applied for both DL and UL transmissions. We aim to maximize the systemthroughput by jointly optimizing the time allocation, HAP transmit power, andIRS phase shifts for the above three cases. Two efficient algorithms based onalternating optimization and penalty-based algorithms are respectively proposedfor both perfect self-interference cancellation (SIC) case and imperfect SICcase by applying successive convex approximation and difference-of-convexoptimization techniques. Simulation results demonstrate the benefits of IRS forenhancing the performance of FD-WPCN, and also show that the IRS-aided FD-WPCNis able to achieve significantly performance gain compared to its counterpartwith half-duplex when the self-interference (SI) is properly suppressed.

Joint Dynamic Passive Beamforming and Resource Allocation for IRS-Aided Full-Duplex WPCN