V2X-mmWave-Beamforming

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

Paper:

The codes are implemented for the following paper:

M.B. Mollah, H. Wang, M.A. Karim, H. Fang, "Multi-Modality Sensing in mmWave Beamforming for Connected Vehicles Using Deep Learning", IEEE Transactions on Cognitive Communications and Networking, pp. 1-15, April 2025.

Citatation:

@article{mollah2025multi-modality,
  title={Multi-Modality Sensing in mm{W}ave Beamforming for Connected Vehicles Using Deep Learning},
  author={Mollah, Muhammad Baqer and Wang, Honggang and Karim, Mohammad Ataul and Fang, Hua},
  journal={IEEE Transactions on Cognitive Communications and Networking},
  year={2025},
  volume={},
  number={},
  pages={1-15}
}

IEEE Xplore: https://ieeexplore.ieee.org/document/10949645

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

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