/AI-Enhanced-MIMO-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.

Primary LanguagePythonApache License 2.0Apache-2.0

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{Oliveira24,
author = {Oliveira, Ailton and Suzuki, Daniel and Bastos, Savio and Sousa, Ilan and Klautau, Aldebaro}, 
title = {Machine Learning-Based {mmWave} {MIMO} Beam Tracking in {V2I} Scenarios: Algorithms and Datasets},
booktitle = {Proceedings of the IEEE Latin-American Conference on Communications},
year = {2024},
organization={IEEE}
}