Performance Evaluation of C-V2X Mode 4 Communications

被引:6
|
作者
Chen, Miling [1 ]
Chai, Rong [1 ]
Hu, Hang [1 ]
Jiang, Wenhang [1 ]
He, Lin [1 ]
机构
[1] Chongqing Univ Posts & Telecommun, Key Lab Mobile Commun Technol, Chongqing 400065, Peoples R China
来源
2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) | 2021年
基金
中国国家自然科学基金;
关键词
C-V2X; Mode; 4; sensing-based semi-persistent scheduling; packet reception ratio;
D O I
10.1109/WCNC49053.2021.9417517
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cellular vehicular-to-everything (C-V2X), as a key technology of Internet of Vehicles (IoVs), is expected to improve road traffic safety and achieve intelligent transportation. C-V2X mainly supports two communication modes, Mode 3 and Mode 4. Mode 3 supports centralized control and management of network resources whereas Mode 4 allows vehicles to select radio resources independently for data transmission without the aid of network infrastructures. In this paper, we present an overview of C-V2X Mode 4 communication and stress several major enhancements compared to long term evolution (LTE), including subframe structure design, synchronization mechanism, resource pool configuration, and resource scheduling mechanism, i.e., sensing-based semi-persistent scheduling (S-SPS), etc. To evaluate the transmission performance of C-V2X, we set up a system-level simulation platform based on the integration of traffic simulator CarMaker and network simulator (NS)-3, where CarMaker is utilized to simulate real vehicle trajectories and NS-3 is applied to implement the communication protocols of C-V2X. Under various simulation scenarios, the transmission performance in terms of packet reception ratio (PRR) is examined and the impacts of resource scheduling parameters, including resource reselection probability, resource reservation interval and channel bandwidth on PRR are evaluated.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Performance of Fuzzy Inference System for Adaptive Resource Allocation in C-V2X Networks
    Bayu, Teguh Indra
    Huang, Yung-Fa
    Chen, Jeang-Kuo
    ELECTRONICS, 2022, 11 (23)
  • [22] Experimental Characterization of a Helical Antenna Integrated in the Rear of a Vehicle for C-V2X Communications
    Chletsou, Adamantia
    Newsom, Eric
    Papapolymerou, John
    IEEE JOURNAL OF MICROWAVES, 2023, 3 (04): : 1147 - 1153
  • [23] Is 30 MHz Enough for C-V2X?
    Sunuwar, Dhruba
    Kim, Seungmo
    Reyes, Zachary
    2023 IEEE 98TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-FALL, 2023,
  • [24] C-V2X Supported Automated Driving
    Kutila, Matti
    Pyykonen, Pasi
    Huang, Qing
    Deng, Wei
    Lei, Wenhui
    Pollakis, Emmanuel
    2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2019,
  • [25] Federated Reinforcement Learning for Collaborative Intelligence in UAV-Assisted C-V2X Communications
    Gupta, Abhishek
    Fernando, Xavier
    DRONES, 2024, 8 (07)
  • [26] MEC-assisted End-to-End Latency Evaluations for C-V2X Communications
    Emara, Mustafa
    Filippou, Miltiades C.
    Sabella, Dario
    2018 EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS (EUCNC), 2018, : 157 - 161
  • [27] C-V2X Assisted mmWave V2V Scheduling
    Molina-Galan, Alejandro
    Coll-Perales, Baldomero
    Gozalvez, Javier
    2019 IEEE 2ND CONNECTED AND AUTOMATED VEHICLES SYMPOSIUM (CAVS), 2019,
  • [28] Effect of Retransmissions on the Performance of C-V2X Communication for 5G
    Wang, Donglin
    Sattiraju, Raja R.
    Qiu, Anjie
    Partani, Sanket
    Schotten, Hans D.
    2020 IEEE 92ND VEHICULAR TECHNOLOGY CONFERENCE (VTC2020-FALL), 2020,
  • [29] A Comparison of the V2X Communication Systems: ITS-G5 and C-V2X
    Mannoni, Valerian
    Berg, Vincent
    Sesia, Stefania
    Perraud, Eric
    2019 IEEE 89TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-SPRING), 2019,
  • [30] System-Level Simulation Platform of C-V2X Mode 4: Integrating CarMaker and NS-3
    Hu, Hang
    Chai, Rong
    Chen, Miling
    Yang, Xizheng
    2021 IEEE 32ND ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2021,