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.
End-to-end learning for task- oriented semantic communications over MIMO channels: An in formation- theoretic framework,
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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.