Title | ||
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Massive IoT Access With NOMA in 5G Networks and Beyond Using Online Competitiveness and Learning |
Abstract | ||
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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 |
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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 Mlika | 1 | 13 | 3.84 |
Soumaya Cherkaoui | 2 | 187 | 40.89 |