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.

本研究针对现有技术在整合生成型人工智能、量子计算和语义通信方面的不足，提出了一个名为GenSC-6G的原型测试平台。该平台创造了一个噪声增强的合成数据集，优化了语义解码、分类和定位任务，显著提升了通讯系统的灵活性和适应性。通过案例研究展示了在噪声条件下的轻量级分类、语义上采样和边缘语言推理的应用，表明此平台可为满足6G网络不断增长的需求提供可扩展的解决方案。

GenSC-6G：集成生成型人工智能、量子计算和语义通信的原型测试平台