Radio Resource Management in V2X (Vehicle to Everything ) Networks for 5G and beyond Communication

Abstract

This study do investigation for the radio resource management(RRM) in Vehicle-to-Everything (V2X) networks for 5G and beyond communication. The research focuses on a heterogeneous network consisting of macro cells, millimeter wave (mmWave) small cells, and Terahertz (THz) small cells. The study considers blockage models and lobe gain statistics for the mmWave tier, as well as transmit power and noise fgure for each tier. Monte Carlo simulations are conducted to analyze the association probability, cumulative Signal-to-Interference-plus-Noise Ratio (SINR) coverage probability, and cumulative rate coverage probability for each tier. The results show that the association probability, cumulative SINR coverage probability, and cumulative rate coverage probability depend on the SINR threshold ratio, minimum SINR requirement, and rate threshold. The mmWave tier has a higher association probability, cumulative SINR coverage probability, and cumulative rate coverage probability than the THz tier for most scenarios. These fndings can provide valuable insights for the design and optimization of V2X networks for 5G and beyond communication.