Low-Latency Task-Oriented Image Transmission with Opportunistic Spectrum Access
Communication systems designed for reliable data reconstruction, rather than task-oriented communication, typically rely on separate source and channel coding and incur high latency under limited spectrum availability and fading channels. To address this, we propose a transmission framework with opportunistic spectrum access, in which the transmitter sends discrete latent representations learned via a vector-quantized variational autoencoder (VQ-VAE) over idle licensed channels using standard digital modulation. The AI-powered receiver is still able to reconstruct task-related information from the heavily compressed data. We develop a cross-layer latency model that accounts for compressio...
| Authors | João Henrique Inacio de Souza, Mattia Merluzzi, Mateus P. Mota et al. |
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| Primary category | cs.IT |
| Published | 2 July 2026 |
| Last updated at source | 2 July 2026 |
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