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[논문 리뷰] A Framework for AI-Native Semantic-Based Dynamic Slicing for 6G Networks

논문 링크: A Framework for AI-Native Semantic-Based Dynamic Slicing for 6G NetworksIn the ensuing ultra-dense and diverse environment in future \ac{6G} communication networks, it will be critical to optimize network resources via mechanisms that recognize and cater to the diversity, density, and dynamicity of system changes. However, coparxiv.org 출처: M. R. Chowdhury, E. Hammad, L. Loven, S. Pirttika..

Wireless Communications 2026.01.19
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    • Wireless Communications (44)
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orthogonal frequency division multiplexing (OFDM), pilotcontamination, Large Language Model, semantic learning, Joint source-channel coding, energy efficiency, contextual reasoning, Channel estimation, Intelligent wireless networks, ML, massive MIMO systems, time-division duplexing (TDD), Federated Learning, 6g, beyond 6G, AI-native, Semantic communications, spectral efficiency, Ai, semantic communication,

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