Semantic Wireless Communications
Joint Communication and Computation Perspective
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Beschreibung
This book covers the foundations and system design of semantic wireless communications from a joint communication and computation perspective. It introduces semantic and task-oriented communication, semantic information metrics, and key modeling tools such as autoencoders, semantic entropy, knowledge graphs, and probability graphs. It then develops resource-allocation methods for semantic similarity maximization and equivalent-rate and energy optimization under practical wireless constraints.
Later chapters connect these ideas to emerging 6G scenarios. This includes probabilistic semantic communication over space-air-ground integrated networks, federated learning for audio semantic communication, integrated sensing/computing/semantic communication for e-healthcare, semantic feature multiple access with generative AI, and security and privacy.
This book is intended for researchers and graduate students, as well as engineers building wireless, edge-intelligence, and AI-native network systems. It combines mathematical models, optimization formulations, algorithm design, simulation studies, and open research directions.
This book covers the foundations and system design of semantic wireless communications from a joint communication and computation perspective. It introduces semantic and task-oriented communication, semantic information metrics, and key modeling tools such as autoencoders, semantic entropy, knowledge graphs, and probability graphs. It then develops resource-allocation methods for semantic similarity maximization and equivalent-rate and energy optimization under practical wireless constraints.
Later chapters connect these ideas to emerging 6G scenarios. This includes probabilistic semantic communication over space-air-ground integrated networks, federated learning for audio semantic communication, integrated sensing/computing/semantic communication for e-healthcare, semantic feature multiple access with generative AI, and security and privacy.
This book is intended for researchers and graduate students, as well as engineers building wireless, edge-intelligence, and AI-native network systems. It combines mathematical models, optimization formulations, algorithm design, simulation studies, and open research directions.
Treats semantics as a measurable design objective, not only a data-compression tool Uses knowledge and probability graphs to link explainable semantics with wireless design Gives optimization examples across text, audio, SAGIN, healthcare, access, and security
Autor*in
Zhaohui Yang
Themen in »Semantic Wireless Communications«
Semantic communication Semantic wireless communications Wireless Communications Knowledge Graph Information Bottleneck 6G joint communication and computation resource allocation semantic information metrics semantic similarity knowledge graph semantic compression federated learning edge intelligence space-air-ground integrated networks