Openly accessible

Two-sided learning for NOMA-based random access in IoT networks

Choi, Jinho 2021, Two-sided learning for NOMA-based random access in IoT networks, IEEE Access, vol. 9, pp. 66208-66217, doi: 10.1109/ACCESS.2021.3076771.

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Title Two-sided learning for NOMA-based random access in IoT networks
Author(s) Choi, JinhoORCID iD for Choi, Jinho orcid.org/0000-0002-4895-6680
Journal name IEEE Access
Volume number 9
Start page 66208
End page 66217
Total pages 10
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2021
ISSN 2169-3536
2169-3536
Keyword(s) Computer Science
Computer Science, Information Systems
Engineering
Engineering, Electrical & Electronic
Heuristic algorithms
IoT
learning
Licenses
NOMA
Radio frequency
random access
Science & Technology
Signal to noise ratio
Simulation
Technology
Telecommunications
Throughput
Language eng
DOI 10.1109/ACCESS.2021.3076771
Indigenous content off
Field of Research 08 Information and Computing Sciences
09 Engineering
10 Technology
HERDC Research category C1 Refereed article in a scholarly journal
Grant ID DP200100391
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30151694

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Created: Thu, 27 May 2021, 10:26:02 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.