软件导刊2025，Vol.24Issue(5)：137-145,9.DOI:10.11907/rjdk.241302
eMBB与URLLC业务共存的MEC场景下基于拍卖算法的计算卸载策略
Computation Offloading Strategy Based on Auction Algorithm in MEC Scenario Where eMBB and URLLC Services Coexist
摘要
Abstract
According to the development plan of 5G communication,the coexistence of URLLC and eMBB services is a very common applica-tion scenario at present.Due to the limited resources of the communication system,the service with a large number of user requests will pro-duce fierce competition.At the same time,mobile edge computing(MEC)refers to the offloading of mobile user computing tasks to the edge server of the cell with more resources,which has the advantages of low energy consumption and low latency.Aiming at the multi-user multi-edge server scenario where two kinds of services coexist,this paper takes user calculation of energy consumption,transmission delay and edge server revenue as targets,establishes a many-to-many auction model based on auction theory,and proposes a computational offloading strate-gy based on multi-round bidirectional auction algorithm.After each round of auction,the user bid and server bid are dynamically adjusted ac-cording to the amount of resources remaining,to improve the auction success rate and ensure the total revenue of the edge server.Finally,the simulation results show that the algorithm proposed in this paper can reasonably allocate the limited resources of edge server and improve the total revenue of edge server.关键词
eMBB/URLLC/移动边缘计算/计算卸载策略/多回合双向拍卖Key words
eMBB/URLLC/mobile edge computing/computation offloading strategy/multi-round two-way auction分类
信息技术与安全科学引用本文复制引用
陈锡宇,窦海娥,姚继明,王磊,夏志杰..eMBB与URLLC业务共存的MEC场景下基于拍卖算法的计算卸载策略[J].软件导刊,2025,24(5):137-145,9.基金项目
国家自然科学基金项目(62071255) （62071255）
江苏省重点研发计划项目(BE2023087) （BE2023087）
江苏省高等学校自然科学研究重大项目(20KJA510009) （20KJA510009）
南京邮电大学宽带无线通信与传感网技术教育部重点实验室开放研究基金项目(JZNY202312) （JZNY202312）
