GenSC-6G: A Prototype Testbed for Integrated Generative AI, Quantum, and Semantic Communication
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Abstract (arXiv)
We introduce a prototyping testbed, GenSC-6G, developed to generate a comprehensive dataset that supports the integration of generative artificial intelligence (AI), quantum computing, and semantic communication for emerging sixth-generation (6G) applications. The GenSC-6G dataset is designed with noise-augmented synthetic data optimized for semantic decoding, classification, and localization tasks, significantly enhancing flexibility for diverse AI-driven communication applications. This adaptable prototype supports seamless modifications across baseline models, communication modules, and goal-oriented decoders. Case studies demonstrate its application in lightweight classification, semantic upsampling, and edge-based language inference under noise conditions. The GenSC-6G dataset serves as a scalable and robust resource for developing goal-oriented communication systems tailored to the growing demands of 6G networks.
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References · 9
- 2022Multimodal Learning with Transformers: A Surveycited by 399
- 2022Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communicationscited by 166
- 2021Towards artificial general intelligence via a multimodal foundation modelcited by 112
- 2022Less Data, More Knowledge: Building Next Generation Semantic Communication Networkscited by 61
- 2022DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Datasetcited by 53
- 2023Large Language Model Enhanced Multi-Agent Systems for 6G Communicationscited by 53
- 2023Large AI Model Empowered Multimodal Semantic Communicationscited by 38
- 2023Generative AI-driven Semantic Communication Networks: Architecture, Technologies and Applicationscited by 36
- 2023Knowledge Base Enabled Semantic Communication: A Generative Perspectivecited by 10
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