论文标题
MMWave异质网络的SINR元分布的时空分析在地理/G/1队列下
Spatio-Temporal Analysis of SINR Meta Distribution for mmWave Heterogeneous Networks Under Geo/G/1 Queues
论文作者
论文摘要
对网络性能的细粒度分析对于系统设计至关重要。在本文中，我们着重于MMWave异质网络中信噪比式 - 加上噪声比例（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）。通过利用随机几何学和排队理论，我们表征了空间和时间随机性，而MMWave通信的特殊特征（包括不同的路径损失定律的不同路径损失定律以及视线和非线链接和方向光束成型，都融合到了分析中。我们得出条件成功传输概率（STP）的力矩。通过考虑临时交通的时间随机到达，将配方一个方程式来得出元分布，并且可以以递归方式获得元分布。数值结果揭示了关键网络参数（例如SINR阈值和阻塞参数）对网络性能的影响。
A fine-grained analysis of network performance 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 a Poisson point process (PPP). By utilizing stochastic geometry and queueing theory, we characterize the spatial and temporal randomness while the special characteristics of 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. We derive the moments of the conditional successful transmission probability (STP). By taking the temporal random arrival of traffic into consideration, an equation is formulated to derive the meta distribution and the meta distribution can be obtained in a recursive manner. The numerical results reveal the impact of the key network parameters, such as the SINR threshold and the blockage parameter, on the network performance.
