SkillCom decomposes LLM semantic communication into four skills connected by structured semantic-unit interfaces and outperforms monolithic LLM baselines in robustness on multi-hop QA and dialogue state tracking tasks.
Semantic communication: A survey on research landscape, challenges, and future directions
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Proposes MSCT and MSNCT semantic communication frameworks for multi-satellite massive MIMO image transmission, plus a MoCM mixture framework that dynamically switches modes using statistical CSI and shows simulation gains.
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SkillCom: Decomposing LLM-based Semantic Communication into Task and Channel Aware Skills
SkillCom decomposes LLM semantic communication into four skills connected by structured semantic-unit interfaces and outperforms monolithic LLM baselines in robustness on multi-hop QA and dialogue state tracking tasks.
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Semantic Communication for Multi-Satellite Massive MIMO Transmission: A Mixture of Cooperative Modes Framework
Proposes MSCT and MSNCT semantic communication frameworks for multi-satellite massive MIMO image transmission, plus a MoCM mixture framework that dynamically switches modes using statistical CSI and shows simulation gains.