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A full-duplex unmanned aerial vehicle (UAV)-based communication network is investigated, where the UAV is dispatched to transmit information to multiple downlink users (DLUs) and receive signal from uplink users (ULUs) simultaneously in the existence of malicious jammers. Considering the limited battery power of the UAV and the quality of service required, 3-D trajectory, DLUs scheduling, ULUs scheduling, and uplink/downlink transmit power allocation are jointly optimized to maximize the energy efficiency of the network. However, the formulated optimization problem with high coupling variables and fractional objective function is nonconvex and therefore mathematically intractable. To address the problem, the BCD method is implemented to decompose the optimization problem into four independent subproblems. An iterative algorithm based on Dinkelbach's algorithm and successive convex approximation technique is developed to solve the problem efficiently. Numerical simulation results are presented to evaluate the performance of different schemes and demonstrate the advantages of the proposed algorithm.
Huang et al. (2024) studied this question.