超密集网络中多基站博弈边缘卸载策略  

Edge offloading strategy for the multi-base station game in ultra-dense networks

作　　者：王汝言[1,2,3] 吴和 崔亚平 吴大鹏 张鸿[1,2,3] WANG Ruyan;WU He;CUI Yaping;WU Dapeng;ZHANG Hong(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Key Laboratory of Optical Communication and Networks in Chongqing,Chongqing 400065,China;Key Laboratory of Ubiquitous Sensing and Networking in Chongqing,Chongqing 400065,China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]重庆高校市级光通信与网络重点实验室,重庆400065 [3]泛在感知与互联重庆市重点实验室,重庆400065

出　　处：《西安电子科技大学学报》2021年第4期1-10,共10页Journal of Xidian University

基　　金：国家自然科学基金(61801065,61771082,61871062,61901070);重庆市高校创新团队建设计划(CXTDX201601020);重庆市教委科学技术研究项目(KJQN202000603);重庆市自然科学基金重点项目(cstc2020jcyj-zdxmX0024);重庆市高校创新研究群体(CXQT20017)。

摘　　要：虽然移动边缘计算在无线接入网处能提供强大的计算能力,但传统的移动边缘计算网络存在覆盖密度小,中心节点负载量过大的问题。将超密集网络和移动边缘计算相结合,可以为上述问题提供可行的解决方案。设计了一种超密集网络下的分布式边缘计算架构。考虑到要最小化系统开销,提出一种多基站博弈卸载算法。该算法首先采用拉格朗日乘数法计算资源分配问题,然后利用用户与移动边缘计算服务器之间的互利最大化,使用匹配博弈理论得到优化卸载策略。仿真结果表明,与随机和贪婪卸载算法相比,提出的算法实现了系统开销的显著降低,平均开销节省可达28.66%。Mobile edge computing provides powerful computing capabilities for the wireless network to enrich the user experience.However,in the current mobile edge computing network,the problems of small coverage density and hotspot overload of the central node should be skillfully overcome.The combination of the ultra-dense network and mobile edge computing can provide a feasible solution for addressing the above problems.A distributed edge computing architecture for ultra-dense networks is designed,and a multi-base station game offloading algorithm is proposed to minimize the system overhead.In the proposed algorithm,the lagrange multiplier method is used to solve the problem of computing resource allocation,and then the matching game theory is exploited to obtain the optimal offloading strategy,so that the mutual benefits of both users and mobile edge computing servers are maximized.Simulation results show that compared with the random and greedy offloading algorithms,the proposed algorithm achieves a significant reduction in the system overhead,with the average overhead saving being up to 28.66%.

关 键 词：移动边缘计算 匹配博弈 卸载 资源分配 

分 类 号：TN929.5[电子电信—通信与信息系统]