全双工无人机中继轨迹优化和资源分配

Trajectory Optimization and Resource Allocation for Full-Duplex Unmanned Aerial Vehicle-Relaying

为了解决城市场景中无线通信易受障碍物阻挡的问题,提出了一种全双工无人机辅助通信系统的轨迹优化和资源分配算法。通过联合优化用户调度、无人机飞行轨迹、波束成形、基站和无人机发射功率,来实现用户最小速率最大化。为了解决此复杂的非凸优化问题,利用块坐标下降法将原问题分解为4个子问题,使用松弛变量、连续凸近似和交替干扰抑制等方法,分别对子问题进行转换求解。仿真结果表明,所提算法具有良好的收敛性,并且能有效地提高最小用户传输速率。

In order to mitigate the adverse effect of blockages of wireless communication in urban scenes,a trajectory optimization and resource allocation algorithm based on full-duplex unmanned aerial vehicle assisted communication system is proposed.A minimum transmission rate of the user is maximized by jointly optimizing user scheduling,flight trajectory,beamforming,base station and unmanned aerial vehicle's transmit power.To solve this complicated complex non-convex optimization problem,the original problem is decomposed into four sub-problems via the block coordinate descent,which are tackled by introducing the slack variables,successive convex approximation and alternating interference suppression.Simulation results show that the proposed algorithm has a desirable convergence and can effectively improve the minimum transmission rate of the user.