系统工程与电子技术 ›› 2020, Vol. 42 ›› Issue (11): 2629-2635.doi: 10.3969/j.issn.1001-506X.2020.11.27

• 通信与网络 • 上一篇    下一篇

异构网络中基于兴趣感知的聚类缓存策略

许耀华1,2(), 盛银银1,2(), 王贵竹2(), 蒋芳2,3(), 王翊2,3(), 袁伟伟1(), 徐惠明1()   

  1. 1. 安徽大学电子信息工程学院, 安徽 合肥 230601
    2. 安徽省物联网频谱感知与测试工程技术研究中心, 安徽 合肥 230601
    3. 中国科学院上海微系统与信息技术研究所, 上海 200050
  • 收稿日期:2020-03-22 出版日期:2020-11-01 发布日期:2020-11-05
  • 作者简介:许耀华(1976-),男,副教授,硕士,主要研究方向为5G通信信号处理、预编码、接收检测技术。E-mail:xyh@ahu.edu.cn|盛银银(1996-),女,硕士研究生,主要研究方向为网络缓存与资源分配、无线通信。E-mail:1151673869@qq.com|王贵竹(1969-),男,副教授,博士,主要研究方向为网络通信与安全、容滞网络。E-mail:bamboo@ahu.edu.cn|蒋芳(1981-),女,讲师,博士,主要研究方向为移动通信、区块链。E-mail:23803596@qq.com|王翊(1983-),男,讲师,博士,主要研究方向为无线通信、物联网。E-mail:1192735672@qq.com|袁伟伟(1996-),男,硕士研究生,主要研究方向为大规模MIMO中的信号检测。E-mail:1425071067@qq.com|徐惠明(1994-),男,硕士研究生,主要研究方向为大规模MIMO毫米波。E-mail:714295579@qq.com
  • 基金资助:
    中国科学院上海微系统与信息技术研究所无线传感网络与通信重点实验室开放课题(20190911)

Clustering caching strategy based on interest-aware in HetNets

Yaohua XU1,2(), Yinyin SHENG1,2(), Guizhu WANG2(), Fang JIANG2,3(), Yi WANG2,3(), Weiwei YUAN1(), Huiming XU1()   

  1. 1. School of Electronic Information Engineering, Anhui University, Hefei 230601, China
    2. Anhui Internet of Things Spectrum Sensing and Testing Engineering Technology Research Center, Hefei 230601, China
    3. Shanghai Key Laboratory of Wireless Sensor Network and Communication, Chinese Academy of Sciences, Shanghai 200050, China
  • Received:2020-03-22 Online:2020-11-01 Published:2020-11-05

摘要:

为应对移动流量的爆炸式增长,在异构网络中引入缓存成为目前的热点研究方向之一。目前缓存部署策略存在缓存命中率不高、缓存数据冗余度较高等问题,没有充分利用存储资源,直接影响网络的性能。针对以上问题,提出一种基于用户兴趣感知的虚拟聚类协作缓存部署策略来提高缓存系统性能。根据用户距离构造虚拟聚类,依据内容请求因子确定系统缓存内容,采用基站协作缓存以及用户间虚拟聚类方式共享缓存内容,以缓存命中率最大化为目标建立优化模型并通过贪婪算法求解。理论分析及仿真结果表明,在异构网络场景下,跟现有方法相比,所提方法在缓存命中率、系统平均传输时延等性能上均有明显提升。

关键词: 异构网络, 兴趣感知, 聚类, 协作缓存

Abstract:

In response to the explosive growth of mobile traffic, the introduction of cache in heterogeneous networks (HetNets) has become one of the hot research directions. At present, the cache deployment strategy has some problems, such as low cache hit rate and high cache data redundancy, which does not make full use of storage resources and directly affects the network performance. To solve the above problems, a virtual clustering cooperative cache deployment strategy based on user interest-aware is proposed to improve the performance of cache system. Virtual clustering is constructed according to the user distance, and the system cache content is determined according to the content request factor. The cache content is shared by base station cooperative caching and virtual clustering among users. The optimization model is established to maximize the cache hit rate and is solved by greedy algorithm. Theoretical analysis and simulation results show that, compared with the existing methods, the proposed method has significantly improved the performance of cache hit rate and system average transmission delay in HetNets scenarios.

Key words: heterogeneous networks (HetNets), interest-aware, clustering, collaborative caching

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