Paper Info
Title
Distributed Q-Learning Aided Uplink Grant-Free NOMA for Massive Machine-Type Communications
Abstract
The explosive growth of machine-type communications (MTC) devices poses critical challenges to the existing cellular networks. Therefore, how to support massive MTC devices with limited resources is an urgent problem to be solved. Bursty traffic is an important characteristic of MTC devices, which makes it difficult for agents to learn useful experience and has a negative impact on model convergen...
Year
DOI
Venue
2021
10.1109/JSAC.2021.3078496
IEEE Journal on Selected Areas in Communications
Keywords
DocType
Volume
NOMA,Uplink,Throughput,Convergence,Time-frequency analysis,Scheduling,Resource management
Journal
39
Issue
ISSN
Citations 
7
0733-8716
11
PageRank 
References 
Authors
0.44
0
4
Name
Order
Citations
PageRank
Jiajia Liu114011.42
Zhenjiang Shi2212.23
Shangwei Zhang3161.84
Nei Kato43982263.66