Multipower‐level <i>Q</i> ‐learning algorithm for random access in nonorthogonal multiple access massive machine‐type communications systems-Reference-Cited by-同舟云学术

Multipower‐level Q ‐learning algorithm for random access in nonorthogonal multiple access massive machine‐type communications systems

Published:2022-04-10 Issue:9 Volume:33 Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Maciel Ferreira Silva Giovanni¹,Abrão Taufik¹^ORCID

Affiliation:

1. Department of Electrical Engineering State University of Londrina Parana Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.4509

Reference23 articles.

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2. KalalasC Alonso‐ZarateJ.Massive connectivity in 5G and beyond: technical enablers for the energy and automotive verticals. Proceedings of the 2020 2nd 6G Wireless Summit (6G SUMMIT); 2020:1‐5.

3. 6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions

4. 6G Internet of Things: a comprehensive survey;Nguyen DC;IEEE Internet Things J,2021

5. 6G Massive Radio Access Networks: Key Applications, Requirements and Challenges

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