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.
@article{arxiv.2501.09918,
title = {GenSC-6G: A Prototype Testbed for Integrated Generative AI, Quantum, and Semantic Communication},
author = {Brian E. Arfeto and Shehbaz Tariq and Uman Khalid and Trung Q. Duong and Hyundong Shin},
journal= {arXiv preprint arXiv:2501.09918},
year = {2025}
}
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SUBMITTED FOR PUBLICATION IN IEEE COMMUNICATIONS MAGAZINE