物联网学报2023，Vol.7Issue(4)：13-27,15.DOI:10.11959/j.issn.2096-3750.2023.00352
基于最优运输理论的蜂窝网边缘卸载时延优化研究
Research on edge offloading delay optimization of cellular networks based on optimal transport theory
摘要
Abstract
With the development of the internet of things,a large number of user device(UD)were connected to cellular network.Since the changes in the spatial distribution of UD and application requirements,it is necessary to dynamically adjust the UD'offloading decision.Comprehensively considering various parameter information in the networks such as the spatial distribution of UD,application requirements,and the processing capability of the edge servers on the base station(BS)side,the offloading decision of UD were optimized from the perspective of distribution.Based on the op-timal transport theory,a delay optimization algorithm was proposed to reduce the average delay of the UD'computing tasks offloading process by reasonably planning the offloading BS of the UD in the networks.The simulation results show that the average delay can be reduced by 81.06%using the proposed offloading mechanism based on delay optimi-zation,and the traffic handled by each BS is balanced.关键词
边缘卸载/最优运输理论/时延优化/物联网Key words
edge offloading/optimal transport theory/delay optimization/IoT分类
信息技术与安全科学引用本文复制引用
吕翔宇,肖泳,钟祎,李强,葛晓虎..基于最优运输理论的蜂窝网边缘卸载时延优化研究[J].物联网学报,2023,7(4):13-27,15.基金项目
国家自然科学基金资助项目(No.U2001210,No.62071190) （No.U2001210,No.62071190）
国家重点研发计划(No.2020YFB1807700) （No.2020YFB1807700）
湖北省重点研发计划(No.2021BAA015)The National Natural Science Foundation of China(No.U2001210,No.62071190),The Key Research and De-velopment Program of China(No.2020YFB1807700),The Key Research and Development Program of Hubei Province(No.2021BAA015) （No.2021BAA015）
