Transmission Capacity Analysis of Distributed Scheduling in LTE-V2V Mode 4 Communication

  • Jie LvEmail author
  • Xinxin He
  • Jianfeng Li
  • Huan Wang
  • Tao Luo
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 262)


LTE-V2X sidelink/PC5 communication aimed at supporting device-to-device (D2D) communications in vehicular scenario has been developed as an appropriate technology by 3GPP. Particularly, mode 4 operating without cellular coverage permits vehicles autonomously to select resources and has the potential to achieve an efficient and reliable transmission for vehicle safety applications. However, there is very little research conducted on theoretical understanding of the characteristics and performance of mode 4. In this work, we propose a tractable mathematical analysis to evaluate the performance of LTE-V2V in mode 4. Specifically, we assume that vehicles driving on 1-D abstract lane follow a Poisson Point Process (PPP). By means of probability model, we analyze the event that vehicles randomly select the same resource inducing collision, and investigate the failure probability of transmission. Also, the distance between adjacent vehicles is log-normally distributed and the transmission outage probability under a fixed threshold is given. Furthermore, we derive the expression of transmission capacity. To this end, numerical results verify that the transmission capacity of mode 4 can be improved to a certain extent with the increasing of density of vehicles.


LTE-V2V mode 4 communication Distributed scheduling Collision Interference Transmission capacity 



This work is supported in part by the National Natural Science Foundation of China under Grant No. 61571065, the China Postdoctoral Science Foundation No. 2017M620695, and the Fundamental Research Funds for the Beijing University of Posts and Telecommunications and DOCOMO Beijing Labs.


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Jie Lv
    • 1
    Email author
  • Xinxin He
    • 1
  • Jianfeng Li
    • 1
  • Huan Wang
    • 2
  • Tao Luo
    • 1
  1. 1.Beijing Key Laboratory of Network System Architecture and ConvergenceBeijing University of Posts and TelecommunicationsBeijingChina
  2. 2.DOCOMO Beijing Communication Laboratories Co., LtdBeijingChina

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