LLM-DiSAC fuses RF and visual features from multiple devices with an LLM-based semantic communication link and reports up to 191% relative classification improvement over a unimodal single-device baseline on a synthetic dataset.
Role of sensing and computer vision in 6G wireless communications,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
other 1
citation-polarity summary
fields
eess.SP 1years
2025 1verdicts
CONDITIONAL 1roles
other 1polarities
unclear 1representative citing papers
citing papers explorer
-
Large Language Model-Driven Distributed Integrated Multimodal Sensing and Semantic Communications
LLM-DiSAC fuses RF and visual features from multiple devices with an LLM-based semantic communication link and reports up to 191% relative classification improvement over a unimodal single-device baseline on a synthetic dataset.