Distributed Deep Joint Source-Channel Coding over a Multiple Access Channel
The authors propose DeepJSCC-NOMA, a novel joint image compression and transmission scheme for distributed image transmission over a noisy multiple access channel. It uses non-orthogonal multiple access (NOMA) and shared deep neural network parameters to improve practical performance compared to orthogonal methods, achieving significant PSNR gains.