Satellite-assisted 6G wide-area edge intelligence:dynamics-aware task offloading and resource allocation for remote IoT services  

作　　者：Di ZHAO Rui DING Bin SONG 

机构地区：[1]State Key Laboratory of Integrated Services Networks,Xidian University,Xi’an 710071,China [2]Hangzhou Institute of Technology,Xidian University,Hangzhou 311231,China [3]China Satellite Network Group Co.,Ltd.,Beijing 100029,China

出　　处：《Science China(Information Sciences)》2025年第2期244-264,共21页中国科学(信息科学)(英文版)

基　　金：supported by National Key Research and Development Program of China(Grant No.2023YFB2904700);National Natural Science Foundation of China(Grant Nos.62372357,62201419)。

摘　　要：Future 6G networks will integrate non-terrestrial communication with mobile edge computing to enable wide-area edge intelligence,providing ubiquitous communication and computation services for everyone and everything.In this paper,we introduce the intelligent cloud-edge-device architecture into low Earth orbit(LEO)satellite-supported remote Internet of Things(IoT)networks to facilitate latency-sensitive and compute-intensive IoT applications.However,the dynamic spatio-temporal characteristics inherent in LEO satellite networks,such as the high volatility of task traffic and the high mobility of space nodes,pose severe challenges.For efficient task execution,we investigate the joint optimization of cross-region task offloading and cross-domain resource allocation,and innovatively propose a spatio-temporal attention-based proximal policy optimization(STA-PPO)algorithm.Specifically,the temporal attention-based actor network analyzes the timing dependencies of task arrival and makes time-variant decisions.Simultaneously,the spatial attention-based critic network captures the spatial variations of satellite motion and evaluates the topology-related value.We verify the effectiveness of the cloud-edge-device collaboration through extensive simulations.Numerical results demonstrate that the STA-PPO algorithm outperforms benchmarks,showing the lowest system delay and the highest link throughput.

关 键 词：6G wide-area edge intelligence cross-region task offoading cross-domain resource allocation spatio-temporal attention proximal policyoptimization 

分 类 号：TN9[电子电信—信息与通信工程]