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MilliCar: An ns-3 Module for mmWave NR V2X Networks

Published: 17 June 2020 Publication History

Abstract

Vehicle-to-vehicle (V2V) communications have opened the way towards cooperative automated driving as a means to guarantee improved road safety and traffic efficiency. The use of the millimeter wave (mmWave) spectrum for V2V, in particular, holds great promise since the large bandwidth available offers the possibility of realizing high-data-rate connections. However, this potential is hindered by the significant path and penetration loss experienced at these frequencies. It then becomes fundamental to practically evaluate the feasibility of installing mmWave-based technologies in the vehicular scenario, in view of the strict latency and throughput requirements of future automotive applications. To do so, in this paper we present MilliCar, the first ns-3 module for V2V mmWave networks, which features a detailed implementation of the sidelink Physical (PHY) and Medium Access Control (MAC) layers based on the latest NR V2X specifications, the 3GPP standard for next-generation vehicular systems. Our module is open-source and enables researchers to compare possible design options and their relative performance through an end-to-end full-stack approach, thereby stimulating further research on this topic.

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      cover image ACM Other conferences
      WNS3 '20: Proceedings of the 2020 Workshop on ns-3
      June 2020
      80 pages
      ISBN:9781450375375
      DOI:10.1145/3389400
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      Published: 17 June 2020

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      Author Tags

      1. 3GPP
      2. NR V2X
      3. mmWave
      4. ns-3
      5. vehicular

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      WNS3 2020: 2020 Workshop on ns-3
      June 17 - 18, 2020
      MD, Gaithersburg, USA

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      • (2024)Addressing Control Challenges in Vehicular Networks Through O-RAN: A Novel Architecture and Simulation FrameworkIEEE Transactions on Vehicular Technology10.1109/TVT.2024.335520273:7(9344-9355)Online publication date: Jul-2024
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      • (2023)Environment-Dependent Throughput Distribution Estimation Based on Bayesian Approach for mmWave Vehicular Communications2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)10.1109/VTC2023-Spring57618.2023.10200424(1-5)Online publication date: Jun-2023
      • (2023)Edge-V : Enabling Vehicular Edge Intelligence in Unlicensed Spectrum Bands2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)10.1109/VTC2023-Spring57618.2023.10199660(1-5)Online publication date: Jun-2023
      • (2023)Switching Strategy for Connected Vehicles Under Variant Harsh Weather ConditionsIEEE Journal of Radio Frequency Identification10.1109/JRFID.2023.32746027(371-378)Online publication date: 2023
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