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).

@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)