基于联合轨迹和功率控制的多无人机干扰协调
Multi-UAV Interference Coordination via Joint Trajectory and Power Control
摘要：
在本文中，我们考虑了一个无人机使能互扰信道（UAV-IC），其中每个$K$无人机与其相关的地面终端（GT）在同一时间和相同的频谱进行通信。为了利用新的自由度的无人机的移动性之间的干扰协调的UAV-GT链路，我们制定了一个联合轨迹和功率控制（TPC）的问题，最大化的总和速率的UAV-IC为一个给定的飞行间隔，在无人机的飞行速度，高度，以及避免碰撞的实际约束。这些约束耦合了跨不同时隙和UAV的TPC变量，导致具有挑战性的大规模和非凸优化问题。通过利用问题的结构，我们表明，最佳TPC解决方案遵循飞-悬停-飞的策略，基于此问题可以处理，首先找到一个最佳的悬停位置，然后解决一个降维TPC问题与给定的初始和悬停位置的无人机。对于简化的TPC问题，我们提出了一个逐次凸逼近算法。为了提高计算效率，我们进一步开发了一个并行TPC算法，是有效地实现在多核CPU。我们还提出了一个{segment-by-segment method} %虚拟航点模型，该模型将TPC问题分解为连续的TPC子问题，每个子问题具有较小的问题维度。仿真结果表明，所提出的算法的优越的计算时间效率，也表明，无人机-IC可以产生更高的网络和速率比基准正交计划。
英文摘要：
In this paper, we consider an unmanned aerial vehicle-enabled interference channel (UAV-IC), where each of the $K$ UAVs communicates with its associated ground terminals (GTs) at the same time and over the same spectrum. To exploit the new degree of freedom of UAV mobility for interference coordination between the UAV-GT links, we formulate a joint trajectory and power control (TPC) problem for maximizing the aggregate sum rate of the UAV-IC for a given flight interval, under the practical constraints on the UAV flying speed, altitude, as well as collision avoidance. These constraints couple the TPC variables across different time slots and UAVs, leading to a challenging large-scale and non-convex optimization problem. By exploiting the problem structure, we show that the optimal TPC solution follows the fly-hover-fly strategy, based on which the problem can be handled by firstly finding an optimal hovering locations followed by solving a dimension-reduced TPC problem with given initial and hovering locations of UAVs. For the reduced TPC problem, we propose a successive convex approximation algorithm. To improve the computational efficiency, we further develop a parallel TPC algorithm that is effciently implementable over multi-core CPUs. We also propose a {segment-by-segment method} %virtual waypoint model which decomposes the TPC problem into sequential TPC subproblems each with a smaller problem dimension. Simulation results demonstrate the superior computation time efficiency of the proposed algorithms, and also show that the UAV-IC can yield higher network sum rate than the benchmark orthogonal schemes.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
