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This repository contains the code, datasets, and simulation tools for the paper "Machine Learning-Based mmWave MIMO Beam Tracking in V2I Scenarios: Algorithms and Datasets", published at IEEE Latincom 2024.

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AI-Enhanced-mmWaveMIMO-BeamTracking

This repository contains the code, datasets, and simulation tools for the paper "Machine Learning-Based mmWave MIMO Beam Tracking in V2I Scenarios: Algorithms and Datasets", published at IEEE Latincom 2024.

If you use this code or dataset in your research, please cite the following paper:

@inproceedings{oliveira2024machine,
  title={Machine Learning-Based mmWave MIMO Beam Tracking in V2I Scenarios: Algorithms and Datasets},
  author={Oliveira, Ailton and Suzuki, Daniel and Bastos, S{\'a}vio and Correa, Ilan and Klautau, Aldebaro},
  booktitle={2024 IEEE Latin-American Conference on Communications (LATINCOM)},
  pages={1--5},
  year={2024},
  organization={IEEE}
}

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This repository contains the code, datasets, and simulation tools for the paper "Machine Learning-Based mmWave MIMO Beam Tracking in V2I Scenarios: Algorithms and Datasets", published at IEEE Latincom 2024.

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