We propose an adaptive rate allocation scheme to choose the rates of the source coder and
channel coder pair optimally. We express the end-to-end expected distortion in terms of the …

With the rapid development of digital devices, the issue of how to transmit information
among different devices with multimedia carriers has drawn much attention from the …

This paper presents a novel deep joint source-channel coding (DeepJSCC) scheme for
image transmission over a half-duplex cooperative relay channel. Specifically, we apply …

In this article, we investigate deep auto-encoders for channel coding to combat the curse of
dimensionality commonly existing in learning based coding. Inspired by convolutional …

We propose a joint feature compression and transmission scheme for efficient inference at
the wireless network edge. Our goal is to enable efficient and reliable inference at the edge …

Diffusion models (DM) can gradually learn to remove noise, which have been widely used in
artificial intelligence generated content (AIGC) in recent years. The property of DM for …

End-to-end deep learning for communication systems, ie, systems whose encoder and
decoder are learned, has attracted significant interest recently, due to its performance which …

Adaptive bitrate (ABR) streaming has been used in wireless networks to deal with the time-
varying wireless channels. Traditionally, wireless video is fetched from remote Internet …

The problem of application-layer error control for real-time video transmission over packet
lossy networks is commonly addressed via joint source-channel coding (JSCC), where …

Wireless video broadcast/multicast and mobile video communication pose a challenge to
the conventional video transmission scheme (which consists of separate digital source …