The Use of Machine Learning Techniques for Optimal Multicasting in 5G NR Systems-Reference-Cited by-同舟云学术

The Use of Machine Learning Techniques for Optimal Multicasting in 5G NR Systems

Published:2023-03 Issue:1 Volume:69 Page:201-214
ISSN:0018-9316
Container-title:IEEE Transactions on Broadcasting
language:
Short-container-title:IEEE Trans. on Broadcast.

Author:

Chukhno Nadezhda¹^ORCID,Chukhno Olga¹^ORCID,Moltchanov Dmitri²^ORCID,Gaydamaka Anna²^ORCID,Samuylov Andrey²,Molinaro Antonella¹^ORCID,Koucheryavy Yevgeni²^ORCID,Iera Antonio³^ORCID,Araniti Giuseppe¹^ORCID

Affiliation:

1. DIIES Department, Mediterranea University of Reggio Calabria, Reggio Calabria, Italy

2. Electrical Engineering Department, ITC Faculty, Tampere University, Tampere, Finland

3. CNIT, Parma, Italy

Funder

European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska Curie Grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/11/10059242/09904964.pdf?arnumber=9904964

Reference47 articles.

1. Edge Machine Learning for AI-Enabled IoT Devices: A Review

2. Analysis of 3D Deafness Effects in Highly Directional mmWave Communications

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