Performance Analysis for Downlink Transmission in Multi-Connectivity Cellular V2X Networks

TL;DR

This paper develops an analytical framework using stochastic geometry to evaluate the performance of downlink multi-connectivity in C-V2X networks, demonstrating its effectiveness in enhancing network reliability and efficiency in high-mobility scenarios.

Contribution

It introduces a novel analytical model for downlink multi-connectivity in C-V2X networks, incorporating vehicle and base station distributions and analyzing key performance metrics.

Findings

Multi-connectivity improves coverage probability and spectral efficiency.

System performance is significantly affected by path loss exponent and base station density.

Monte Carlo simulations confirm the analytical results and demonstrate performance gains.

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, multi-connectivity 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 paper proposes an analytical framework for the performance of downlink in multi-connectivity C-V2X networks. Specifically, by modeling the vehicles and base stations as one-dimensional Poisson point processes, we first derive and analyze the joint distance distribution of multi-connectivity. Then through leveraging the tools of stochastic geometry, the coverage probability and spectral efficiency are obtained based on the previous results for general multi-connectivity cases in C-V2X. Additionally, we evaluate the effect of path loss exponent and the density of downlink base station on system performance indicators. We demonstrate through extensive Monte Carlo simulations that multi-connectivity technology can effectively enhance network performance in C-V2X. Our findings have important implications for the research and application of multi-connectivity C-V2X in the 5G and B5G era.