Coverage analysis for mmWave-enabled V2X networks via stochastic geometry

Abstract

Due to owning huge free bandwidth, millimeter-wave (mmWave) becomes a promising technique to provide ultra-low latencies and ultra-fast data rates for vehicular networks. In this paper, a practical spatial framework for mmWave-enabled vehicle-to- everything networks is proposed by utilizing stochastic geometry approach. More particularly, base stations and vehicles are modeled by a Poisson point process (PPP) and multiple type II Matern hard-core processes (MHCPs), respectively. To characterize the blockage process caused by vehicles, a novel expression is deduced to distinguish line-of-sight (LOS) and non- LOS transmission. This expression demonstrates that LOS links are independent of horizontal communication distances. Furthermore, several closed-form probability density functions of desired communication distances are derived for analyzing the generated path loss. Considering two practical user association schemes, tractable expressions for coverage probabilities are figured out. The result shows that mmWave outperforms sub-6 GHz and MHCP-based model has higher accuracy than the traditional framework with multi-PPPs.