D2D Assisted Q-Learning Random Access for NOMA-Based MTC Networks-Reference-Cited by-同舟云学术

D2D Assisted Q-Learning Random Access for NOMA-Based MTC Networks

Author:

da Silva Matheus V.¹^ORCID,Montejo-Sanchez Samuel²^ORCID,Souza Richard Demo³^ORCID,Alves Hirley¹^ORCID,Abrao Taufik⁴^ORCID

Affiliation:

1. Centre for Wireless Communications, University of Oulu, Oulu, Finland

2. Programa Institucional de Fomento a la I+D+i, Universidad Tecnológica Metropolitana, Santiago, Chile

3. Department of Electrical and Electronics Engineering, Federal University of Santa Catarina, Florianópolis, Brazil

4. Department of Electrical Engineering, State University of Londrina (UEL), Londrina, Brazil

Funder

Brazilian National Council for Scientic and Technological Development (CNPq), Brazil

Print Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Universidade Federal de Santa Catarina (CAPES-UFSC) “Automation 4.0,” Brazil

Rede Nacional de Ensino e Pesquisa/Ministério da Ciência, Tecnologia, Inovações e Comunicações (RNP/MCTIC), Brazil

Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT) Iniciación, Chile

Academy of Finland 6Genesis Flagship, Finland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

Reference38 articles.

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4. Improving Random Access with NOMA in mMTC XL-MIMO;2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring);2023-06