Joint Dynamic Switching and Offloading Optimization in LEO Satellite-Terrestrial Integrated Networks

Joint Dynamic Switching and Offloading Optimization in LEO Satellite-Terrestrial Integrated Networks | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 4 April 2026 V1 Latest version Share on Joint Dynamic Switching and Offloading Optimization in LEO Satellite-Terrestrial Integrated Networks Authors : RUI FAN , Jianxin Liu , Yongkang Wu , and zhigang wen 0000-0002-0562-4539 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.177528813.33287989/v1 131 views 62 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Low Earth orbit (LEO) satellite-assisted mobile edge computing (MEC) is a promising solution for supporting computation-intensive and delay-sensitive services in satellite-terrestrial integrated networks (STINs). In this letter, we study a joint task offloading and computing resource allocation problem in LEO satellite MEC systems, aiming to minimize a weighted sum of system energy consumption and execution delay under resource constraints. The formulated problem jointly optimizes user-satellite association, task offloading ratio, and satellite CPU allocation, and is a mixed-integer nonconvex optimization. To efficiently solve it, we develop a low-complexity alternating optimization framework based on block coordinate descent, where each subproblem admits an efficient solution. Simulation results demonstrate that the proposed scheme consistently outperforms baseline schemes in terms of both energy efficiency and latency. Supplementary Material File (letter-manuscript.docx) Download 184.45 KB Information & Authors Information Version history V1 Version 1 04 April 2026 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords mobile communication quality of service satellite communication Authors Affiliations RUI FAN Beijing University of Posts and Telecommunications Beijing Key Laboratory of Work Safety Intelligent Monitoring View all articles by this author Jianxin Liu China Mobile Communications Group Shanxi Co., Ltd View all articles by this author Yongkang Wu Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology View all articles by this author zhigang wen 0000-0002-0562-4539 [email protected] Beijing University of Posts and Telecommunications Beijing Key Laboratory of Work Safety Intelligent Monitoring View all articles by this author Metrics & Citations Metrics Article Usage 131 views 62 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation RUI FAN, Jianxin Liu, Yongkang Wu, et al. Joint Dynamic Switching and Offloading Optimization in LEO Satellite-Terrestrial Integrated Networks. Authorea . 04 April 2026. 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