移动边缘计算
计算机科学
计算卸载
强化学习
调度(生产过程)
计算
水准点(测量)
分布式计算
能源消耗
边缘计算
实时计算
服务器
GSM演进的增强数据速率
数学优化
计算机网络
算法
人工智能
工程类
数学
电气工程
地理
大地测量学
作者
You Zhang,Zhengchong Mao
标识
DOI:10.1109/ucom59132.2023.10257660
摘要
This paper investigates a system where an unmanned aerial vehicle (UAV) provides computing services to multiple mobile terminals. To optimize the computation offloading services of the system, we jointly optimize mobile terminal scheduling, UAV trajectory, and task offloading ratio to minimize service delay and terminals' energy consumption under energy constraints. Considering the optimization problem with non-convexity, the high-dimensional states, and continuous action space, we propose a SAC-based computation offloading algorithm (SAC-CO) for UAV-assisted mobile edge computing (MEC). The algorithm improves its convergence by combining off-policy and maximum entropy reinforcement learning. Simulation results demonstrate that SAC-UTO outperforms the benchmark algorithm in most cases.
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