QoS-Aware State-Augmented Learning for Wireless Coexistence Parameter Management
Efficient and fair coexistence in unlicensed spectrum is critical for next-generation wireless networks such as 5G New Radio in Unlicensed Spectrum (NR-U) and Wi-Fi, which contend for shared resources under diverse Quality of Service (QoS) requirements. Existing reinforcement learning (RL) approache...
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| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IEEE
2026-01-01
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| Seri Bilgileri: | IEEE Transactions on Machine Learning in Communications and Networking |
| Konular: | |
| Online Erişim: | https://ieeexplore.ieee.org/document/11579434/ |
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