2019/07/23 by Fabian Eckermann, Eckermann, Fabian, Moritz Kahlert +3 · 1 citation
Engineering · #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #Traffic control and management #Transportation and Mobility Innovations #Vehicular Ad Hoc Networks (VANETs)
paper · pdf · doi:10.48550/arxiv.1907.09977
openalex publication_date 2019/07/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Autonomous vehicles, on the ground and in the air, are the next big evolution\nin human mobility. While autonomous driving in highway scenarios is already\npossible using only the vehicles sensors, the complex scenarios of big cities\nwith all its different traffic participants is still a vision. Cellular\nVehicle-to-Everything (C-V2X) communication is a necessary enabler of this\nvision and and an emerging field of interest in today's research. However, to\nthe best of our knowledge open source simulators essential for open research do\nnot exist yet. In this work we present our open source C-V2X mode 4 simulator\nbased on the discrete-event network simulator ns-3. To analyze the performance\nof C-V2X mode 4 using our simulator, we created a worst case scenario and the\n3GPP reference Manhattan grid scenario using the microscopic traffic simulator\nSUMO. We also added the WINNER+ B1 channel model to ns-3, as this is also used\nby 3GPP. Our results show, that C-V2X is scalable to 250 vehicles within a\nworst case scenario on a playground of 100 m x 100 m, with respect to the LTE\nrel. 14 V2X requirements. For the more realistic Manhattan grid scenario, the\nperformance is better, as to be expected. We also analyzed the Packet\nInter-Reception time with an outcome of max. 100 ms for more than 99 % of all\ntransmissions. In addition, we investigated the impact of the Resource\nReservation Period and the Resource Reselection Probability on the system's\nPacket Reception Ratio.\n