Huang Shuqi, Zhang Jun, Wu Yi
Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Fujian Normal University, Fuzhou 350007, China.
Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.
Sensors (Basel). 2022 Oct 21;22(20):8061. doi: 10.3390/s22208061.
Unmanned aerial vehicles (UAVs) are widely used in wireless communication systems due to their flexible mobility and high maneuverability. The combination of UAVs and mobile edge computing (MEC) is regarded as a promising technology to provide high-quality computing services for latency-sensitive applications. In this paper, a novel UAV-assisted MEC uplink maritime communication system is proposed, where an MEC server is equipped on UAV to provide flexible assistance to maritime user. In particular, the task of user can be divided into two parts: one portion is offloaded to UAV and the remaining portion is offloaded to onshore base station for computing. We formulate an optimization problem to minimize the total system latency by designing the optimal flying altitude of UAV and the optimal task allocation ratio. We derive a semi closed-form expression of the optimal flying altitude of UAV and a closed-form expression of the optimal task allocation ratio. Simulation results demonstrate the precision of the theoretical analyses and show some interesting insights.
无人机（UAV）因其灵活的机动性和高可操作性而在无线通信系统中得到广泛应用。无人机与移动边缘计算（MEC）的结合被视为一种为对延迟敏感的应用提供高质量计算服务的有前途的技术。本文提出了一种新型的无人机辅助MEC上行链路海上通信系统，其中在无人机上配备了MEC服务器，以向海上用户提供灵活的协助。具体而言，用户的任务可以分为两部分：一部分卸载到无人机，其余部分卸载到岸上基站进行计算。我们通过设计无人机的最佳飞行高度和最佳任务分配比例，制定了一个优化问题，以最小化系统总延迟。我们推导了无人机最佳飞行高度的半封闭形式表达式和最佳任务分配比例的封闭形式表达式。仿真结果证明了理论分析的准确性，并显示了一些有趣的见解。
