重庆邮电大学学报（自然科学版）2026，Vol.38Issue(3)：435-445,11.DOI:10.3979/j.issn.1673-825X.202506120147
低轨卫星物联网中基于PPO-CRA的任务卸载与资源分配算法
Task offloading and resource allocation algorithm based on PPO-CRA in LEO satellite IoT
摘要
Abstract
To address the limited computational capacity of lightweight ground terminals and constrained satellite communication in satellite Internet of Things(SIoT)scenarios,this paper proposes a three-tier SIoT network architecture with an edge control gateway(ECG)as relay,and develops a task offloading and resource allocation algorithm combining proximal policy optimization with convex resource allocation(PPO-CRA).The optimization objective of minimizing system cost is decomposed into two subproblems:task offloading,modeled as a Markov Decision Process and solved via PPO to dynamically generate offloading strategies;and resource allocation,addressed through Lagrange multiplier methods for convex optimization.Simulation results demonstrate that PPO-CRA achieves strong performance in system cost reduction with robust adaptability and stability across varying environmental conditions.关键词
卫星物联网/任务卸载/资源分配/近端策略优化/边缘计算Key words
satellite IoT/task offloading/resource allocation/near-end policy optimization/edge computing分类
信息技术与安全科学引用本文复制引用
田子敬,彭大芹,潘星宇,陈诺..低轨卫星物联网中基于PPO-CRA的任务卸载与资源分配算法[J].重庆邮电大学学报（自然科学版）,2026,38(3):435-445,11.基金项目
重庆市科技局低轨卫星互联网宽带通信设备测试平台关键技术研究与应用项目(2024TIAD-STX0066) Research and Application of Key Technologies for the Testing Platform of Low-Orbit Satellite Internet Broadband Communication Equipment of Chongqing Science and Technology Bureau(2024TIAD-STX0066) （2024TIAD-STX0066）
