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Analysis and Optimization on Partition-Based Caching and Delivery in Satellite-Terrestrial Edge Computing Networks

Analysis and Optimization on Partition-Based Caching and Delivery in Satellite-Terrestrial Edge Computing Networks

作     者:Peng Wang Xing Zhang Jiaxin Zhang Shuang Zheng Wenhao Liu Peng Wang;Xing Zhang;Jiaxin Zhang;Shuang Zheng;Wenhao Liu

作者机构:Wireless Signal Processing and Network LaboratoryKey Laboratory of Universal Wireless CommunicationMinistry of EducationSchool of Information and Communication EngineeringBeijing University of Posts and TelecommunicationsBeijing 100876China 

出 版 物:《China Communications》 (中国通信(英文版))

年 卷 期:2023年第20卷第3期

页      面:252-285页

核心收录:

学科分类:08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 

基  金:supported by the National Key Research and Development Program of China 2021YFB2900504,2020YFB1807900 and 2020YFB1807903 by the National Science Foundation of China under Grant 62271062,62071063 

主  题:edge computing satellite terrestrial net-works caching deployment stochastic geometry 6G networks 

摘      要:As a viable component of 6G wireless communication architecture,satellite-terrestrial networks support efficient file delivery by leveraging the innate broadcast ability of satellite and the enhanced powerful file transmission approaches of multi-tier terrestrial *** the paper,we introduce edge computing technology into the satellite-terrestrial network and propose a partition-based cache and delivery strategy to make full use of the integrated resources and reducing the backhaul *** on the interference effect from varied nodes in different geographical distances,we derive the file successful transmission probability of the typical user and by utilizing the tool of stochastic *** the constraint of nodes cache space and file sets parameters,we propose a near-optimal partition-based cache and delivery strategy by optimizing the asymptotic successful transmission probability of the typical *** complex nonlinear programming problem is settled by jointly utilizing standard particle-based swarm optimization(PSO)method and greedy based multiple knapsack choice problem(MKCP)optimization *** results show that compared with the terrestrial only cache strategy,Ground Popular Strategy,Satellite Popular Strategy,and Independent and identically distributed popularity strategy,the performance of the proposed scheme improve by 30.5%,9.3%,12.5%and 13.7%.

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