%0 Conference Paper %1 conf/eucnc/ZimagliaRGF21 %A Zimaglia, Elisa %A Riviello, Daniel Gaetano %A Garello, Roberto %A Fantini, Roberto %B EuCNC/6G Summit %D 2021 %I IEEE %K dblp %P 78-83 %T A Deep Learning-based Approach to 5G-New Radio Channel Estimation. %U http://dblp.uni-trier.de/db/conf/eucnc/eucnc2021.html#ZimagliaRGF21 %@ 978-1-6654-1526-2

@inproceedings{conf/eucnc/ZimagliaRGF21, added-at = {2022-12-28T00:00:00.000+0100}, author = {Zimaglia, Elisa and Riviello, Daniel Gaetano and Garello, Roberto and Fantini, Roberto}, biburl = {https://www.bibsonomy.org/bibtex/2bd30b5311826b6c0e54057b3664a48c9/dblp}, booktitle = {EuCNC/6G Summit}, crossref = {conf/eucnc/2021}, ee = {https://doi.org/10.1109/EuCNC/6GSummit51104.2021.9482426}, interhash = {bca7724541c12f88fe1a77daf05afea3}, intrahash = {bd30b5311826b6c0e54057b3664a48c9}, isbn = {978-1-6654-1526-2}, keywords = {dblp}, pages = {78-83}, publisher = {IEEE}, timestamp = {2024-04-09T18:58:43.000+0200}, title = {A Deep Learning-based Approach to 5G-New Radio Channel Estimation.}, url = {http://dblp.uni-trier.de/db/conf/eucnc/eucnc2021.html#ZimagliaRGF21}, year = 2021 }