Coverage Analysis of Downlink Transmission in Multi-Connectivity Cellular V2X Networks

TL;DR

This paper develops an analytical framework to evaluate how multi-connectivity improves coverage probability in 5G C-V2X networks, considering vehicle mobility, path loss, and base station density, validated through simulations.

Contribution

It introduces a novel stochastic geometry-based framework for analyzing multi-connectivity performance in C-V2X downlink transmission, including joint distance distribution and coverage probability.

Findings

Multi-connectivity significantly enhances coverage probability.

Analytical expressions match simulation results.

Coverage improves with higher base station density and lower path loss exponent.

Abstract

With the increasing of connected vehicles in the fifth-generation mobile communication networks (5G) and beyond 5G (B5G), ensuring the reliable and high-speed cellular vehicle-to-everything (C-V2X) communication has posed significant challenges due to the high mobility of vehicles. For improving the network performance and reliability, multi-connectivity technology has emerged as a crucial transmission mode for C-V2X in the 5G era. To this end, this paper proposes a framework for analyzing the performance of multi-connectivity in C-V2X downlink transmission, with a focus on the performance indicators of joint distance distribution and coverage probability. Specifically, we first derive the joint distance distribution of multi-connectivity. By leveraging the tools of stochastic geometry, we then obtain the analytical expressions of coverage probability based on the previous results for general multi-connectivity cases in C-V2X. Subsequently, we evaluate the effect of path loss exponent and downlink base station density on coverage probability based on the proposed analytical framework. Finally, extensive Monte Carlo simulations are conducted to validate the effectiveness of the proposed analytical framework and the simulation results reveal that multi-connectivity technology can significantly enhance the coverage probability in C-V2X.