Deep Reinforcement Learning-based Robust Design for an IRS-assisted MISO-NOMA System

Waraiet, Abdulhamed Khaled E orcid.org/0000-0001-8818-6935, Cumanan, Kanapathippillai orcid.org/0000-0002-9735-7019, Ding, Zhiguo et al. (1 more author) (2024) Deep Reinforcement Learning-based Robust Design for an IRS-assisted MISO-NOMA System. IEEE Transactions on Machine Learning in Communications and Networking. pp. 424-441. ISSN: 2831-316X

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Item Type: Article
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© 2024 The Authors.
Dates:
  • Accepted: 24 March 2024
  • Published: 8 April 2024
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Date Deposited: 13 May 2024 10:20
Last Modified: 17 Oct 2025 23:06
Published Version: https://doi.org/10.1109/TMLCN.2024.3385748
Status: Published
Refereed: Yes
Identification Number: 10.1109/TMLCN.2024.3385748
Open Archives Initiative ID (OAI ID):

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