@inproceedings{08909e139d3c4d53b0ae381abd9760ee,
title = "Delay-Optimal Task Scheduling and Resource Allocation with Collaborative Computation Offloading in Satellite Edge Computing",
abstract = "Satellite edge computing networks are gaining momentum, necessitating efficient task scheduling and resource allocation to optimize performance. This paper focuses on collaborative computing among multiple edge satellites, addressing the dynamic nature of satellite networks and energy constraints. We propose the Delay-Optimal Task Scheduling Offloading and Resource Allocation (DO-TSO-RA) algorithm to minimize task processing delay and ensure network stability. By decomposing the problem into task scheduling, offloading, and resource allocation subproblems and employing alternating optimization and sequential task scheduling algorithm to solve them. Finally simulations demonstrates superior performance of DO-TSORA in reducing task delay and improving resource utilization compared to existing methods.",
keywords = "Satellite network, collaborative computing offloading, edge computing, resource allocation",
author = "Weichen Zhu and Ruisong Wang and Ruofei Ma and Gongliang Liu and Shuai Han",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE International Conference on Communications, ICC 2025 ; Conference date: 08-06-2025 Through 12-06-2025",
year = "2025",
doi = "10.1109/ICC52391.2025.11161399",
language = "英语",
series = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5222--5227",
editor = "Matthew Valenti and David Reed and Melissa Torres",
booktitle = "ICC 2025 - IEEE International Conference on Communications",
address = "美国",
}