A NOMA-Based Q-Learning Random Access Method for Machine Type Communications-Reference-Cited by-同舟云学术

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A NOMA-Based Q-Learning Random Access Method for Machine Type Communications

Published:2020-10 Issue:10 Volume:9 Page:1720-1724
ISSN:2162-2337
Container-title:IEEE Wireless Communications Letters
language:
Short-container-title:IEEE Wireless Commun. Lett.

Author:

da Silva Matheus Valente^ORCID,Souza Richard Demo^ORCID,Alves Hirley^ORCID,Abrao Taufik^ORCID

Funder

CNPq, Brazil, Project PrInt CAPES-UFSC “Automation 4.0,”

Academy of Finland (Aka), Finland, 6Genesis Flagship

EE-IoT

FIREMAN

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/5962382/9215050/09119119.pdf?arnumber=9119119

Cited by 47 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sparsity-Aware Intelligent Massive Random Access Control for Massive MIMO Networks: A Reinforcement Learning Based Approach;IEEE Transactions on Wireless Communications;2024-08

2. Power-Profile in Q-Learning NOMA Random Access Protocols for Throughput Maximization;Journal of Network and Systems Management;2024-05-17

3. DRL-based Dynamic Channel Access and SCLAR Maximization for Networks under Jamming;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

4. Fairness aware deep reinforcement learning for grant-free NOMA-IoT networks;Internet of Things;2024-04

5. Priority-Aware Access Strategy for GF-NOMA System in IIoT: The Device-Specific Allocation Approach;IEEE Internet of Things Journal;2024-01-15

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