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V2X-RA-DRL

Deep Reinforcement Learning-Based Resource Allocation for Cellular V2X Communications

Note

  • This is a recent upload of a project from 16 months ago. The code is somewhat poorly written, lacking in extensibility and likely not maintainable.
  • It fails to pass some static analysis and has shown to have 2 potential bugs.
  • The original PC that I ran the code on is dead now. I know this sounds dramatic, but shit happens sometimes. So, if the dependency doesn't work, well, there's basically nothing I can do to help.

Reference

  • Y. -C. Chung, H. -Y. Chang, R. Y. Chang and W. -H. Chung, "Deep Reinforcement Learning-Based Resource Allocation for Cellular V2X Communications," 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), Florence, Italy, 2023, pp. 1-7.

  • If you find this code helpful, we highly recommend that you read and cite this paper.

    @inproceedings{chung2023deep,
      title={Deep Reinforcement Learning-Based Resource Allocation for Cellular V2X Communications},
      author={Chung, Yi-Ching and Chang, Hsin-Yuan and Chang, Ronald Y and Chung, Wei-Ho},
      booktitle={2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)},
      pages={1--7},
      year={2023},
      organization={IEEE}
    }
    
    @INPROCEEDINGS{10200293,
      author={Chung, Yi-Ching and Chang, Hsin-Yuan and Chang, Ronald Y. and Chung, Wei-Ho},
      booktitle={2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)}, 
      title={Deep Reinforcement Learning-Based Resource Allocation for Cellular V2X Communications}, 
      year={2023},
      volume={},
      number={},
      pages={1-7},
      keywords={Deep learning;Vehicular and wireless technologies;Simulation;Vehicle-to-infrastructure;Vehicular ad hoc networks;Reinforcement learning;Resource management;Vehicle-to-everything (V2X) communication;deep reinforcement learning (DRL);resource allocation},
      doi={10.1109/VTC2023-Spring57618.2023.10200293}}