Performance Analysis for Downlink Transmission in Multi-Connectivity Cellular V2X Networks
arxiv(2024)
摘要
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.
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