通信学报2024，Vol.45Issue(7)：21-36,16.DOI:10.11959/j.issn.1000-436x.2024049
基于终端流量预测的低地球轨道卫星互联网资源分配策略
LEO satellite Internet resource allocation strategy based on terminal traffic prediction
摘要
Abstract
A resource allocation strategy for the low earth orbit(LEO)satellite Internet based on terminal traffic predic-tion was proposed to address the problems of blind coverage spots in ground network and the low resource utilization of satellite network.An improved LSTM-ARIMA algorithm was proposed with real datasets by the strategy to accurately predict the data traffic generated in the ground area over a certain period of time in the future.Two communication mod-els,differentiated data transmission and task offloading were constructed through Stackelberg games,taking into the data processing latency and energy consumption account.By solving the Nash equilibrium,the optimal ratio for users to trans-mit data or unload tasks through the LEO satellite Internet,as well as the optimal pricing for satellites to provide network services,were obtained.Extensive simulation results verify that the proposed strategy can increase the revenue by ap-proximately 40%in data transmission services and 50%in task offloading services.关键词
低地球轨道卫星互联网/数据流量预测/资源分配/数据传输/任务卸载Key words
LEO satellite Internet/data flow prediction/resource allocation/data transmission/task offloading分类
电子信息工程引用本文复制引用
沈斐,吕承丞,张嘉璇,阮小婷..基于终端流量预测的低地球轨道卫星互联网资源分配策略[J].通信学报,2024,45(7):21-36,16.基金项目
国家重点研发计划基金资助项目(No.2019YFE0120700) （No.2019YFE0120700）
上海市科技创新行动计划基金资助项目(No.22511100800,No.22511100500) The National Key Research and Development Program of China(No.2019YFE0120700),The Project of Science and Technology Commission of Shanghai(No.22511100800,No.22511100500) （No.22511100800,No.22511100500）
