MEC系统中面向网络切片的3C联合资源分配算法

doi:10.13190/j.jbupt.2021-005

北京邮电大学学报 ›› 2021, Vol. 44 ›› Issue (5): 41-47.doi: 10.13190/j.jbupt.2021-005

MEC系统中面向网络切片的3C联合资源分配算法

郑远鹏¹, 张天魁¹, 朱光宇¹, 沈鸿²

1. 北京邮电大学信息与通信工程学院, 北京 100876;
2. 中国电信股份有限公司北京分公司, 北京 100010

收稿日期:2021-01-13 出版日期:2021-10-28 发布日期:2021-09-06
通讯作者: 张天魁(1980-),男,教授,博士生导师,E-mail:zhangtiankui@bupt.edu.cn. E-mail:zhangtiankui@bupt.edu.cn
作者简介:郑远鹏(1998-),男,博士生.
基金资助:
国家自然科学基金项目（61971060）

Network Slicing-Oriented Joint Allocation Algorithm of 3C Resources in MEC Systems

ZHENG Yuan-peng¹, ZHANG Tian-kui¹, ZHU Guang-yu¹, SHEN Hong²

1. School of Information and Communication Engineering, Beijing University of Post and Telecommunication, Beijing 100876, China;
2. Beijing Branch, China Telecom Company Limited, Beijing 100010, China

Received:2021-01-13 Online:2021-10-28 Published:2021-09-06

摘要/Abstract

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.

关键词: 网络切片, 移动边缘计算, 连续凸近似, 资源联合分配

Abstract: 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 (3C) 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.

Key words: network slicing, mobile edge computing, successive convex approximation, joint allocation of resources

中图分类号:

TN929.5

郑远鹏, 张天魁, 朱光宇, 沈鸿. MEC系统中面向网络切片的3C联合资源分配算法[J]. 北京邮电大学学报, 2021, 44(5): 41-47.

ZHENG Yuan-peng, ZHANG Tian-kui, ZHU Guang-yu, SHEN Hong. Network Slicing-Oriented Joint Allocation Algorithm of 3C Resources in MEC Systems[J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(5): 41-47.

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MEC系统中面向网络切片的3C联合资源分配算法

Network Slicing-Oriented Joint Allocation Algorithm of 3C Resources in MEC Systems

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