Datasets and code for machine learning in 5G mmWave MIMO systems involving mobility (5GMdata)

This code assumes Python 3.

See datasets and more information at https://github.com/lasseufpa/5gm-data

Read about the datasets in Raymobtime

Reference

If you use any data or code, please cite: "5G MIMO Data for Machine Learning: Application to Beam-Selection using Deep Learning", Aldebaro Klautau, Pedro Batista, Nuria Gonzalez-Prelcic, Yuyang Wang and Robert W. Heath Jr., ITA'2018 (available at http://ita.ucsd.edu/workshop/18/files/paper/paper_3313.pdf).

Bibtex entry:
@inproceedings{Klautau18,
  author    = {Aldebaro Klautau and Pedro Batista and Nuria Gonzalez-Prelcic and Yuyang Wang and Robert W. Heath Jr.},
  title     = {{5G} {MIMO} Data for Machine Learning: Application to Beam-Selection using Deep Learning},
  booktitle = {2018 Information Theory and Applications Workshop, San Diego},
  pages     = {1--1},
  year      = {2018},
  url       = {http://ita.ucsd.edu/workshop/18/files/paper/paper_3313.pdf}
}