Performance Analysis for Downlink Transmission in Multiconnectivity Cellular V2X Networks
Luofang Jiao, Jiwei Zhao, Yunting Xu, Tianqi Zhang, Haibo Zhou, Dongmei Zhao
Abstract
With the ever-increasing number of connected vehicles in the fifth-generation mobile communication networks (5G) and beyond 5G (B5G), ensuring the reliability and high-speed demand of cellular vehicle-to-everything (C-V2X) communication in scenarios where vehicles are moving at high speeds poses a significant challenge. Recently, multiconnectivity technology has become a promising network access paradigm for improving network performance and reliability for C-V2X in the 5G and B5G era. To this end, this article proposes an analytical framework for the performance of downlink in multiconnectivity C-V2X networks. Specifically, by modeling the vehicles and base stations (BSs) as 1-D Poisson point processes, we first derive and analyze the joint distance distribution of multiconnectivity. Then through leveraging the tools of stochastic geometry, the coverage probability and spectral efficiency are obtained based on the previous results for general multiconnectivity cases in C-V2X. Additionally, we evaluate the effect of the path-loss exponent and the density of downlink BS on system performance indicators. We demonstrate through extensive Monte Carlo simulations that multiconnectivity technology can effectively enhance network performance in C-V2X. Our findings have important implications for the research and application of multiconnectivity C-V2X in the 5G and B5G era.