V2X-mmWave-Transformers

A project on transformers based multi-modality sensing in 60 GHz mmWave beamforming for connected vehicles.

Paper:

The codes are implemented for the following papers:

M.B. Mollah, H. Wang, M.A. Karim, H. Fang, “Multi-Modal Sensing and Fusion in mmWave Beamforming for Connected Vehicles: A Transformer Based Framework,” IEEE Transactions on Vehicular Technology, pp. 1-13, 2026.
Paper link: https://ieeexplore.ieee.org/document/11397341

M.B. Mollah, H. Wang, H. Fang, “Multi-Modal Sensing Aided mmWave Beamforming for V2V Communications with Transformers,” IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, 2025, pp. 1-6.

Citatation:

@article{mollah2025mmwave-transformer,
  title={Multi-Modal Sensing and Fusion in mmWave Beamforming for Connected Vehicles: A Transformer Based Framework},
  author={Mollah, Muhammad Baqer and Wang, Honggang and Karim, Mohammad Ataul and Fang, Hua},
  journal={IEEE Transactions on Vehicular Technology},
  year={2026},
  volume={},
  number={},
  pages={1-13}
}
@inproceedings{mollah2025transformers,
  title={Multi-Modal Sensing Aided mm{W}ave Beamforming for {V}2{V} Communications with Transformers}, 
  author={Mollah, Muhammad Baqer and Wang, Honggang and Fang, Hua},
  booktitle={GLOBECOM 2025 - IEEE Global Communications Conference},
  pages={1-6},
  year={2025},
  organization={IEEE}
}

Datasets: https://www.deepsense6g.net/scenarios/

Feel free to conctact: m.m.baqer@ieee.org