异构网络中基于兴趣感知的聚类缓存策略

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。

Clustering caching strategy based on interest-aware in HetNets

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.