能量受限的无人机辅助中继通信性能优化OA北大核心CSTPCD

As a relay node,the UAV(unmanned aerial vehicle)has the advantages of long communication distance,flexible mobility and low deployment cost.To improve the performance of UAV auxiliary relay communication and utilize the limited onboard energy of UAV effectively,an energy-constrained UAV-assisted relay communication network is studied and a multivariate optimization scheme for joint task scheduling and UAV trajectory planning is proposed to maximize the minimum available throughput of all nodes.Because the original problem is a non-convex optimization problem which is difficult to solve directly,the original problem is decoupled into two sub-problems first,and then the non-convex optimization problems are transformed into two standard convex problems by successive convex approximation(SCA)technique,slack variable method and block coordinate descent(BCD)method,and the sub-optimal solutions of the two sub-problems are obtained.On the basis of solving the two sub-problems,a multivariate iterative optimization algorithm is proposed to obtain the suboptimal solution of the original problem.The results of numerical simulation show that the proposed algorithm has a desirable convergence performance and can improve the communication performance of the system effectively.