  Considering the problem of joint source-channel coding (JSCC) for multi-user
transmission of images over noisy channels, an autoencoder-based novel deep
joint source-channel coding scheme is proposed in this paper. In the proposed
JSCC scheme, the decoder can estimate the signal-to-noise ratio (SNR) and use
it to adaptively decode the transmitted image. Experiments demonstrate that the
proposed scheme achieves impressive results in adaptability for different SNRs
and is robust to the decoder's estimation error of the SNR. To the best of our
knowledge, this is the first deep JSCC scheme that focuses on the adaptability
for different SNRs and can be applied to multi-user scenarios.
