The paper analytically derives the optimal semantic feature channel for linear encoder-decoder structures with Gaussian sources and proposes a joint optimization framework plus real-time physical-layer calibration for analog and digital semantic communications.
Knowl- edge base enabled semantic communication: A generative per spective
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A Transformer-based generative model builds an environment-aware channel knowledge base that is injected into JSCC encoders and decoders, achieving 10^{-3} level channel estimation error and outperforming benchmarks in semantic communication performance.
citing papers explorer
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Towards Optimal Semantic Communications: Reconsidering the Role of Semantic Feature Channels
The paper analytically derives the optimal semantic feature channel for linear encoder-decoder structures with Gaussian sources and proposes a joint optimization framework plus real-time physical-layer calibration for analog and digital semantic communications.
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Generative Channel Knowledge Base With Environmental Information for Joint Source-Channel Coding in Semantic Communications
A Transformer-based generative model builds an environment-aware channel knowledge base that is injected into JSCC encoders and decoders, achieving 10^{-3} level channel estimation error and outperforming benchmarks in semantic communication performance.