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}}