Zhang, Caiya and Fang, Fang and Zhang, Congsong (2024) A Self-Supervised GCN Model for Link Scheduling in Downlink NOMA Networks. EAI Endorsed Transactions on Internet of Things.
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Abstract
INTRODUCTION: Downlink Non-Orthogonal Multiple Access (NOMA) networks pose challenges in optimizing power allocation efficiency due to their complex design.
OBJECTIVES: This paper aims to propose a novel scheme utilizing Graph Neural Networks to address the optimization challenges in downlink NOMA
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 18:15 |
| Last Modified: | 16 Apr 2026 22:07 |
| URI: | http://eprints.eai.eu/id/eprint/51780 |
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