具有建筑物规避能力的阻塞感知无人机辅助无线数据采集
Blockage-Aware UAV-Assisted Wireless Data Harvesting With Building Avoidance
AI总结：
针对无人机辅助无线数据采集，本文联合优化调度与三维轨迹，通过凸分解、分离超平面和块坐标下降实现建筑物规避与视距通信，提升最小上行吞吐量。
摘要：
与传统的地面固定基站不同，无人机（UAV）提供动态轨迹控制能力，使其能够避开障碍物并与地面节点（GN）建立视距（LoS）无线信道。本研究针对无人机辅助无线数据采集中调度与三维（3D）轨迹规划的联合优化问题。其目标是在考虑信号阻塞和建筑物规避的同时，最大化各地面节点之间的最小上行链路吞吐量。为实现这一目标，我们首先提出了用于规避长方体形建筑物并通过严格数学证明判定建筑物对无线信号阻塞的数学模型。该优化问题被表述为非凸混合整数非线性规划，并采用先进技术求解。具体而言，通过二次变换和连续凸逼近，将该问题分解为若干凸子问题。利用分离超平面法和近似指示函数引入建筑物规避和信号阻塞约束。随后使用块坐标下降算法迭代求解这些子问题。仿真结果验证了所提方法的有效性。无人机会动态调整其轨迹和调度策略，以保持与地面节点的视距信道，与现有方案相比显著提升了网络吞吐量。此外，无人机的轨迹在其连续轨迹上均遵守建筑物规避约束，从而确保不间断运行并符合安全要求。
英文摘要：
Unmanned aerial vehicles (UAVs) offer dynamic trajectory control, enabling them to avoid obstacles and establish line-of-sight (LoS) wireless channels with ground nodes (GNs), unlike traditional ground-fixed base stations. This study addresses the joint optimization of scheduling and three-dimensional (3D) trajectory planning for UAV-assisted wireless data harvesting. The objective is to maximize the minimum uplink throughput among GNs while accounting for signal blockages and building avoidance. To achieve this, we first present mathematical models designed to avoid cuboid-shaped buildings and to determine wireless signal blockage by buildings through rigorous mathematical proof. The optimization problem is formulated as nonconvex mixed-integer nonlinear programming and solved using advanced techniques. Specifically, the problem is decomposed into convex subproblems via quadratic transform and successive convex approximation. Building avoidance and signal blockage constraints are incorporated using the separating hyperplane method and an approximated indicator function. These subproblems are then iteratively solved using the block coordinate descent algorithm. Simulation results validate the effectiveness of the proposed approach. The UAV dynamically adjusts its trajectory and scheduling policy to maintain LoS channels with GNs, significantly enhancing network throughput compared to existing schemes. Moreover, the trajectory of the UAV adheres to building avoidance constraints for its continuous trajectory, ensuring uninterrupted operation and compliance with safety requirements.
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。
