计算机工程 ›› 2019, Vol. 45 ›› Issue (12): 52-57,78.doi: 10.19678/j.issn.1000-3428.0055530

• 热点与综述 • 上一篇    下一篇

面向5G网络的Stackelberg博弈缓存优化策略

赵文君, 周金和   

  1. 北京信息科技大学 信息与通信工程学院, 北京 100101
  • 收稿日期:2019-07-22 修回日期:2019-09-03 发布日期:2019-09-11
  • 作者简介:赵文君(1996-),男,硕士研究生,主研方向为5G网络缓存技术、云计算;周金和,教授。
  • 基金项目:
    国家自然科学基金"5G超密集接入网智能动态资源分配及其优化方法研究"(61872044)。

Stackelberg Game Cache Optimization Strategy for 5G Networks

ZHAO Wenjun, ZHOU Jinhe   

  1. School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100101, China
  • Received:2019-07-22 Revised:2019-09-03 Published:2019-09-11

摘要: 为提高5G网络中的内容缓存效率并降低网络能耗,提出一种基于Stackelberg博弈的缓存优化算法。将网络服务商和内容提供商建模为一个多主多从的Stackelberg博弈模型,内容提供商从网络服务商处购买基站存储空间,以缓存流行和热门内容。构建博弈双方的策略空间和利润函数,并证明给定一组网络服务商的基站租用价格时内容提供商之间存在纳什均衡点。在此基础上,利用分布式迭代算法对博弈模型进行求解,得到网络服务商的基站最优定价和内容提供商的基站最优租用比例。仿真结果表明,与用户QoS优先算法、果蝇算法和全局最优算法相比,该算法能够提高缓存命中率和网络收益,降低网络能耗。

关键词: 5G网络, 内容缓存, Stackelberg博弈, 纳什均衡, 网络能耗

Abstract: To improve the efficiency of content cache and reduce network energy consumption in 5G networks,this paper proposes a cache optimization algorithm based on Stackelberg game.First,the network service providers and content providers are considered as a multi-master multi-slave Stackelberg game model.The content providers purchase base station storage space from network service providers to cache popular content.Then this paper builds the strategy space and profit function of both players,which further proves the Nash equilibrium between content providers when the base station rental price of a certain group of network service providers is given.On this basis,this paper uses distributed iteration algorithm to solve the game model.Consequently,this paper obtains the optimal base station pricing of network service providers and the optimal base station rental ratio of content providers.Simulation results show that compared with QoS priority algorithm,Drosophila algorithm and global optimization algorithm,the proposed method can improve cache hit rate and network revenue,as well as reducing network energy consumption.

Key words: 5G networks, content cache, Stackelberg game, Nash equilibrium, network energy consumption

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