构建6G智能通信测试平台，融合生成AI、量子与语义通信。
GenSC-6G: A Prototype Testbed for Integrated Generative AI, Quantum, and Semantic Communication
- 设计噪声增强的合成数据集，支持语义解码与分类任务。
- 在低资源环境下实现轻量分类与边缘语言推理，性能显著提升。
- 适合研究6G智能通信系统与跨模态语义传输的学者使用。
我们提出一个原型测试平台GenSC-6G，用于生成支持生成式人工智能（AI）、量子计算与语义通信集成的综合性数据集，服务于新兴第六代（6G）应用。该数据集采用噪声增强的合成数据，专为语义解码、分类与定位任务优化，显著提升多样化AI驱动通信应用的灵活性。此可扩展原型支持基线模型、通信模块及目标导向解码器的无缝修改。案例研究验证了其在低功耗分类、语义上采样以及噪声条件下边缘语言推断中的应用效果。GenSC-6G数据集为满足6G网络日益增长的需求，提供了可扩展且稳健的资源，助力面向目标的通信系统开发。
原文摘要 · Abstract (English)
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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