GenSC-6G: A Prototype Testbed for Integrated Generative AI, Quantum, and Semantic Communication

TL;DR

GenSC-6G is a versatile prototype testbed and dataset supporting the integration of generative AI, quantum computing, and semantic communication to advance 6G communication systems with noise-robust, goal-oriented features.

Contribution

It introduces a comprehensive, noise-augmented dataset and a flexible prototype for integrating AI, quantum, and semantic communication in 6G applications.

Findings

Demonstrated effectiveness in lightweight classification tasks

Enhanced semantic decoding under noisy conditions

Supported edge-based language inference

Abstract

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.