Title
Massive IoT Access With NOMA in 5G Networks and Beyond Using Online Competitiveness and Learning
Abstract
This article studies the problem of online user grouping, scheduling, and power allocation for massive Internet of Things (IoT) access in beyond 5G networks using nonorthogonal multiple access (NOMA). NOMA has been identified as a promising technology to accommodate a large number of devices using a limited number of radio resources. In this work, the objective is to maximize the number of served ...
Year
DOI
Venue
2021
10.1109/JIOT.2021.3068061
IEEE Internet of Things Journal
Keywords
DocType
Volume
Resource management,NOMA,Machine-to-machine communications,Reinforcement learning,Uplink,Real-time systems,Internet of Things
Journal
8
Issue
ISSN
Citations 
17
2327-4662
2
PageRank 
References 
Authors
0.37
0
2
Name
Order
Citations
PageRank
Zoubeir Mlika1133.84
Soumaya Cherkaoui218740.89