5GMdata Home

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}
}

Available data

If just looking for the data, jump to datasets.

Software and tutorial on 5GMdata

Go here.

Other datasets for machine learning in telecommunications

https://www.nist.gov/ctl/5g-mmwave-channel-model-alliance

https://www.deepsig.io/datasets

https://www.lasse.ufpa.br/UFPAtelecom/

https://github.com/gnuradio/SigMF#contributing (Metadata format)