Kezhi Wang

TL;DR: Numerical results show that deep reinforcement learning (DRL) can effectively improve the energy-efficiency performance of the RIS-Assisted UAV system, compared with benchmark solutions.

TL;DR: In this paper, the robust beamforming design based on the statistical CSI error model for PU-related cascaded channels in cognitive radio (CR) systems is investigated, which jointly optimizes the transmit precoding matrix and phase shifts to minimize the SU's total transmit power, meanwhile subject to the quality of service (QoS) of SUs, the interference imposed on the PU and unit-modulus of the reflective beamforming.

TL;DR: By applying the Gale-Shapley Matching Theory in the duplex matching framework, this paper proposes a multi-stage heuristic to minimize the refusal rate for user’s task offloading requests.

TL;DR: This letter considers a solar-powered unmanned aerial vehicle (UAV) system, where the UAV collects data from Internet of Things Devices on the ground while also charging them using laser charging technology, and jointly optimizing the three-dimensional trajectory of UAV and scheduling for IoTDs.

TL;DR: In this paper, the authors proposed a new simultaneous terahertz (THz) information and power transfer (STIPT) system, which is assisted by reconfigurable intelligent surface (RIS) for both the information data and power transmission.