摘要
移动边缘计算(MEC)相关研究已经成为未来移动网络的热点研究之一.在基于网络切片的雾无线接入网络中,提出了一种面向网络切片的MEC系统通信计算缓存(3C)联合的资源分配算法.给出了面向网络切片的多MEC协作资源分配模型,其中考虑了无线接入带宽与回程链路带宽的限制以及MEC系统计算与缓存资源分配对网络切片服务时延的影响;基于服务时延定义了用户获得资源的效用值,构造了系统效用值最大化问题优化不同网络切片下的用户接入、计算与缓存资源分配,并采用连续凸近似交替迭代方法获得近似最优解.对所提算法性能进行了仿真验证,仿真结果表明,所提算法实现了系统总效用值优化,提高了面向网络切片的MEC系统资源利用效率。
Mobile edge computing(MEC)has become one of the emerging research topics of future mobile network.In the fog radio access network based on network slicing,a network slicing-oriented communication,computation and caching(3 C)joint resource allocation algorithm is proposed for MEC systems.A network slicing-oriented resource allocation model with multi-MEC cooperation is given.In this model,the limitations of wireless and backhaul bandwidth and the influence of MEC computation and caching resource allocation on service delay of network slicing are considered.The utility value of resources obtained by the user is defined by the service delay.A system utility maximization problem is proposed,which takes user association in different slices,computation and cache resources allocation as optimization variables.An iterative algorithm based on successive convex approximation is adopted to acquire approximate optimal solution.The performance of the proposed algorithm is verified by simulation.The results show that the proposed algorithm can optimize the total utility value of the system and improve the resource utilization efficiency of the network slicing-oriented MEC system.
作者
郑远鹏
张天魁
朱光宇
沈鸿
ZHENG Yuan-peng;ZHANG Tian-kui;ZHU Guang-yu;SHEN Hong(School of Information and Communication Engineering,Beijing University of Post and Telecommunication,Beijing 100876,China;Beijing Branch,China Telecom Company Limited,Beijing 100010,China)
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2021年第5期41-47,共7页
Journal of Beijing University of Posts and Telecommunications
基金
国家自然科学基金项目(61971060)。
关键词
网络切片
移动边缘计算
连续凸近似
资源联合分配
network slicing
mobile edge computing
successive convex approximation
joint allocation of resources
