lasseufpa/5gm-data
Datasets and code for machine learning in 5G mmWave MIMO systems involving mobility (5GMdata)
repo name | lasseufpa/5gm-data |
repo link | https://github.com/lasseufpa/5gm-data |
homepage | |
language | Python |
size (curr.) | 348 kB |
stars (curr.) | 42 |
created | 2018-04-06 |
license | GNU General Public License v3.0 |
5GMdata
Datasets and code for machine learning in 5G mmWave MIMO systems involving mobility (5GMdata)
See the Wiki page at https://github.com/lasseufpa/5gm-data/wiki
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}
}