无人机无线网络中基于队列稳定的无线与计算资源分配优化

Queue Stability-based Radio and Computing Resource Allocation Optimization in Unmanned Aerial Vehicle-enabled Wireless Networks

摘要:

无人机（UAV）无线网络中，UAV承载基站设备，可灵活提供无线通信服务，支持在高质量的无线信道状态下进行数据传输；另一方面，将边缘计算服务器部署到基站侧，计算资源更靠近用户，通过任务卸载，能够直接在基站侧进行计算处理，缓解无线网络的去程链路压力；但是，考虑到能耗受限问题，如何通过资源优化来降低网络能耗并保证用户到基站的数据传输和任务处理的稳定性依然是研究的难题；针对UAV无线网络中用户向UAV基站发送数据并卸载计算任务的场景，研究了在数据传输和任务处理稳定性约束下进行无线与计算资源优化的能耗最小化问题，构建数据队列与任务队列，采用李雅普诺夫优化理论对问题进行转化和分解，获得能耗与队列的折中关系，并通过仿真分析评估了所提解决方案的有效性。

Abstract:

In unmanned aerial vehicle (UAV)-enabled wireless networks, UAVs carry the base station (BS) to flexibly provide wireless communication services, supporting data transmission in high-quality wireless channel conditions. Meanwhile, deploying the mobile edge computing server on the UAV brings the computing resource closer to users. By offloading tasks to the mobile edge computing server, the tasks can be processed directly on the BS, alleviating the pressure on the fronthaul link. However, with the consideration of the constrained energy consumption, how to reduce the energy consumption while ensuring the stability of data transmission and task processing from users to the BS remains a challenging problem. Considering that users send data and offload computing tasks to the BS in the UAV-enabled wireless networks, the energy consumption minimization problem is researched with allocating the radio and the computing resources, constrained by the stability of the data transmission queues and the task processing queues. The data queues and the task queues are involved, in which the Lyapunov optimization theory is utilized to transform and decompose the optimization problem into the convex programming. A trade-off between the energy consumption and the queue length is obtained. The effectiveness of the proposed solution is evaluated through the simulation analyses.