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

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	424-441
Journal	IEEE Transactions on Machine Learning in Communications and Networking
Volume	2
DOIs	https://doi.org/10.1109/TMLCN.2024.3385748
Publication status	Published - 8 Apr 2024

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title = "Deep Reinforcement Learning-based Robust Design for an IRS-assisted MISO-NOMA System",

author = "Waraiet, {Abdulhamed Khaled E} and Kanapathippillai Cumanan and Zhiguo Ding and Octavia Dobre",

note = "{\textcopyright} 2024 The Authors.",

year = "2024",

month = apr,

day = "8",

doi = "10.1109/TMLCN.2024.3385748",

language = "English",

volume = "2",

pages = "424--441",

journal = "IEEE Transactions on Machine Learning in Communications and Networking",

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T1 - Deep Reinforcement Learning-based Robust Design for an IRS-assisted MISO-NOMA System

AU - Waraiet, Abdulhamed Khaled E

AU - Cumanan, Kanapathippillai

AU - Ding, Zhiguo

AU - Dobre, Octavia

PY - 2024/4/8

Y1 - 2024/4/8

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DO - 10.1109/TMLCN.2024.3385748

M3 - Article

SN - 2831-316X

VL - 2

SP - 424

EP - 441

JO - IEEE Transactions on Machine Learning in Communications and Networking

JF - IEEE Transactions on Machine Learning in Communications and Networking

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