论文标题
MMWave异质网络的细粒度分析
A Fine-Grained Analysis of mmWave Heterogeneous Networks
论文作者
论文摘要
对支持缓存网络的细粒度分析对于系统设计至关重要。在本文中，我们专注于MMWave异质网络中信噪比式 - 加上噪声（SINR）的元分布，在该网络中，每个层中的基站（BS）在每个层中被建模为Poisson点过程（PPP）。通过利用随机几何形状，我们得出了条件成功概率的力矩，基于元分布的精确表达及其β近似的确切表达。此外，要实现关键绩效指标，成功概率，有条件成功概率的差异，平均局部延迟和网络抖动。分析纳入了MMWave通信的区别特征，包括视线和非视线链路的不同路径损失定律以及定向光束成形的特征。模拟结果揭示了关键网络参数的影响，例如阻塞参数，偏置因子，天线元素数量和密度对性能。
A fine-grained analysis of the cache-enabled networks is crucial for system design. In this paper, we focus on the meta distribution of the signal-to-interference-plus-noise-ratio (SINR) in the mmWave heterogeneous networks where the base stations (BS) in each tier are modeled as Poisson point process (PPP). By utilizing stochastic geometry, we derive the moments of the conditional success probability, based on which the exact expression of meta distribution and its beta approximation are derived. In addition, key performance metrics, the success probability, the variance of the conditional success probability, the mean local delay and the network jitter are achieved. The distinguishing characteristics of the mmWave communications, including different path loss laws for line-of-sight and non-line-of-sight links and directional beamforming are incorporated into the analysis. The simulation results reveal the impact of the key network parameters, such as blockage parameter, bias factor, number of antenna elements and density on the performance.
