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}
}