Chinese Journal of Intelligent Science and Technology ›› 2023, Vol. 5 ›› Issue (1): 83-91.doi: 10.11959/j.issn.2096-6652.202309

• Papers and Reports • Previous Articles     Next Articles

Sidelink resource allocation algorithm of C-V2X based on deep Q learning

Hui XU   

  1. Terminal Business Division, ZTE Corporation, Chengdu 610041, China
  • Revised:2023-02-24 Online:2023-03-15 Published:2023-03-01
  • Supported by:
    The National Key Research and Development Program of China(2018YFB1308600)


For the sidelink resource autonomous selection scheme of different priority services in celluar-vehicle to everything (C-V2X) system, the procedure of autonomous selection algorithm based on reference signal energy was analyzed, and the energy threshold equation was designed.For the energy equation parameter estimation problem, energy-based autonomous selection algorithm was combined with deep Q learning algorithm, and the optimal parameter value of the energy threshold equation was obtained by iteration of the finite-degree algorithm.Simulation results showed that the side resource allocation algorithm based on deep Q learning could ensure the side resource requirements of V2X services with different priorities, and improve the packet reception ratio performance of the system.

Key words: C-V2X, sidelink, autonomous resource selection, machine learning, PRR

CLC Number: 

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