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Joint Trajectory Optimization and Time Slot Allocation for Buffer-Aided UAV Mobile Relaying

机译:缓冲辅助无人机移动中继的联合弹道优化和时隙分配

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Unmanned aerial vehicle (UAV) communication has been attracting increasing research interests recently. In this work, we study a buffer-aided single-UAV mobile relaying system which assists communication between a source node and a destination node on the ground. Specifically, in a slotted time system where each time slot experiences quasi-static channel condition, the buffer-aided UAV relay’s flight trajectory and the allocation of the time slots for transmission and reception are jointly optimized, subject to the information causality and UAV mobility constraints. The formulated problem is non-convex and the two sets of design variables, i.e., the trajectory position variables and the time slot allocation variables, are coupled. In order to make the problem tractable, we relax and decompose the original problem into two subproblems, i.e., the flight trajectory optimization subproblem and the time slot allocation subproblem, such that the two sets of design variables are decoupled. The two subproblems are optimized in an alternating manner until convergence to obtain solution to the joint optimization problem. Simulation results show that the proposed iterative alternating optimization algorithm is efficient and fast converging.
机译:近来,无人飞行器(UAV)通信已引起越来越多的研究兴趣。在这项工作中,我们研究了一种缓冲辅助的单UAV移动中继系统,该系统可协助地面上的源节点和目标节点之间的通信。具体而言,在每个时隙都经历准静态信道条件的时隙系统中,受信息因果关系和信息共享的影响,共同优化了缓冲区辅助无人机中继的飞行轨迹以及用于发送和接收的时隙分配。无人机机动性限制。提出的问题是非凸的,并且将两组设计变量,即轨迹位置变量和时隙分配变量耦合。为了使问题易于处理,我们将原始问题放宽并分解为两个子问题,即飞行轨迹优化子问题和时隙分配子问题,以便将两组设计变量解耦。以交替的方式优化这两个子问题,直到收敛为止,以获得联合优化问题的解决方案。仿真结果表明,所提出的迭代交替优化算法是高效且快速收敛的。

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