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

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