Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding
The method merges image compression and channel coding using a multi-view autoencoder to enable Non-Orthogonal Multiple Access (NOMA) for wireless image transmission. It uses user-specific projections and a progressive fine-tuning strategy to scale up to 64 users while maintaining high image quality, outperforming existing NOMA techniques.