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.
Joint source-cha nnel coding for channel-adaptive digital semantic communications
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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eess.SP 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper surveys techniques for robust deep JSCC in semantic communications by categorizing them into robust training approaches and three types of adaptive approaches.
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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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A Survey on Robust Deep Joint Source-Channel Coding for Semantic Communications
The paper surveys techniques for robust deep JSCC in semantic communications by categorizing them into robust training approaches and three types of adaptive approaches.