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Performance analysis of the clustered caching wireless networks considering stochastic geometry approach

机译:考虑随机几何方法的集群缓存无线网络性能分析

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Recently, caching of the popularity video files in the caches near to the users has been proposed as a promising way to reduce data traffic. These caches can be considered as the nodes which their transmission ranges are limited but have significant storage capacity and are known as the helper nodes. To evaluate the performance and efficiency of the caches, a suitable model for their distributions should be taken into account. Stochastic geometry is a useful tool for modeling these nodes. In this paper, the helper nodes and users are distributed according to the Poisson point process distribution. However, to manage the interferences and their access to a distributed cache, the helper nodes are clustered. The clusters center are modeled with matern hard core process which its original feature is the creation of nonoverlapping circles. Then, the closed-form expressions are derived for performance metrics of the network such as outage probability, average rate, and simulate the proposed model with monte-carlo method. Based on the simulation of the study, the results demonstrate the validity of the analytical derivations.
机译:近来,已经提出将流行度视频文件缓存在用户附近的缓存中作为减少数据流量的有前途的方法。这些高速缓存可以被视为其传输范围受到限制但具有显着的存储容量的节点,被称为辅助节点。为了评估缓存的性能和效率,应考虑适合其分布的模型。随机几何是对这些节点建模的有用工具。在本文中,根据Poisson点过程分布来分配帮助节点和用户。但是,为了管理干扰及其对分布式缓存的访问,辅助节点被集群化了。聚类中心采用成熟的硬核过程建模,其原始特征是创建不重叠的圆。然后,针对网络的性能指标(如中断概率,平均速率)导出封闭形式的表达式,并使用蒙特卡洛方法对所提出的模型进行仿真。在研究模拟的基础上,结果证明了分析推导的有效性。

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