Waraiet, Abdulhamed Khaled E, 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
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2024 The Authors. |
Dates: |
|
Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Depositing User: | Pure (York) |
Date Deposited: | 13 May 2024 10:20 |
Last Modified: | 07 Feb 2025 00:39 |
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): | oai:eprints.whiterose.ac.uk:212424 |
Download
Filename: Deep_Reinforcement_Learning-Based_Robust_Design_for_an_IRS-Assisted_MISO-NOMA_System.pdf
Description: Deep_Reinforcement_Learning-Based_Robust_Design_for_an_IRS-Assisted_MISO-NOMA_System
Licence: CC-BY 2.5