In this paper, we focus on the performance analysis of a semi-persistent scheduling scheme for vehicular safety communications, motivated by the Mode 4 medium access control protocol in 3GPP Release 14 for Cellular-V2X. An analytical model is built and a fixed point method is used to calculate the collision probability and average delay in both fully connected and partially connected cases under the assumption of perfect PHY performance. We use Monte Carlo simulation to verify the results obtained in the analytical model. The simulation results show that our analytical model can give a good estimation of the collision probability and average delay. We verify that a trade-off between delay and collision probability can be achieved with a flexible resource block selection. Monte Carlo simulation results show that with the flexible resource selection scheme average delay can be shortened significantly with only a small compromise in collision probability.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Fixed-Point Model for Semi-Persistent Scheduling of Vehicular Safety Messages


    Contributors:


    Publication date :

    2018-08-01


    Size :

    214330 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Vehicular radar interference management using basic safety messages

    VA VUTHA / SHIMIZU TAKAYUKI / BANSAL GAURAV | European Patent Office | 2020

    Free access

    Reliable Delivery of Safety Messages in Infrastructure Based Vehicular Networks

    Almeida, Joao / Alam, Muhammad / Fernandes, Bruno et al. | IEEE | 2015



    Semi-Persistent Resource Allocation Based on Traffic Prediction for Vehicular Communications

    Chu, Ping / Zhang, J. Andrew / Wang, Xiaoxiang et al. | IEEE | 2020


    Adaptive C-V2X Sidelink Communications for Vehicular Applications Beyond Safety Messages

    Ku, Yu-Jen / Flowers, Bryse / Thornton, Samuel et al. | IEEE | 2022