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Semantic Information Theory

This Reprint collects cutting-edge research from the highly regarded Entropy Special Issue "Semantic Information Theory." As modern communication systems evolve for applications like 6G, IoT, and autonomous driving, the focus shifts from merely transmitting bits to efficiently conveying task-specifi...

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Guardat en:
Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2026
Matèries:
Semantic communication
Rate-distortion
Joint source-channel coding
Source coding
Information bottleneck
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
Accés en línia:ONIX_20260416T142754_9783725858071_21
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Sumari:This Reprint collects cutting-edge research from the highly regarded Entropy Special Issue "Semantic Information Theory." As modern communication systems evolve for applications like 6G, IoT, and autonomous driving, the focus shifts from merely transmitting bits to efficiently conveying task-specific meaning. The Special Issue bridges classical information theory with modern AI, exploring the foundations of semantic communication. It features two comprehensive reviews and ten original research articles, organized into two key themes: advancing semantic rate–distortion theory and designing efficient semantic communication systems. This Reprint serves as an important resource for researchers and practitioners navigating the complex transition toward truly intelligent, task-driven communication networks.

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