A semantic communication framework uses MLLM-derived scenario-aware importance labels to allocate coding resources, improving PSNR of important image regions at comparable or lower bandwidth than prior JSCC systems.
Beamforming and scalable image processing in vehicle-to-vehicle networks,
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SA-OOSC: A Multimodal LLM-Distilled Semantic Communication Framework for Enhanced Coding Efficiency with Scenario Understanding
A semantic communication framework uses MLLM-derived scenario-aware importance labels to allocate coding resources, improving PSNR of important image regions at comparable or lower bandwidth than prior JSCC systems.