4 papers
Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding
Selim F. Yilmaz, Can Karamanli, Deniz Gunduz
We consider multiple transmitters aiming to communicate their source signals (e.g., images) over a multiple access channel (MAC). Conventional communication systems minimize interf…
Distributed Deep Joint Source-Channel Coding with Decoder-Only Side Information
Selim F. Yilmaz, Ezgi Ozyilkan, Deniz Gunduz +1
We consider low-latency image transmission over a noisy wireless channel when correlated side information is present only at the receiver side (the Wyner-Ziv scenario). In particul…
High Perceptual Quality Wireless Image Delivery with Denoising Diffusion Models
Selim F. Yilmaz, Xueyan Niu, Bo Bai +3
We consider the image transmission problem over a noisy wireless channel via deep learning-based joint source-channel coding (DeepJSCC) along with a denoising diffusion probabilist…
A Hybrid Wireless Image Transmission Scheme with Diffusion
Xueyan Niu, Xu Wang, Deniz Gündüz +3
We propose a hybrid joint source-channel coding (JSCC) scheme, in which the conventional digital communication scheme is complemented with a generative refinement component to impr…