In existing semantic communication systems for image transmission, some images are
generally reconstructed with considerably low quality. As a result, the reliable transmission …

Task-driven semantic video/image coding has drawn considerable attention with the
development of intelligent media applications, such as license plate detection, face …

Multinode communication, which refers to the interaction among multiple devices, has
attracted lots of attention in many Internet of Things (IoT) scenarios. However, its huge …

Semantic communication is an increasingly popular framework for wireless image
transmission due to its high communication efficiency. With the aid of the joint-source-and …

Modern communications are usually designed to pursue a higher bit-level precision and
fewer bits while transmitting a message. This article rethinks these two major features and …

We investigate joint source channel coding (JSCC) for wireless image transmission over
multipath fading channels. Inspired by recent works on deep learning based JSCC and …

We consider the wireless text transmission using joint source-channel coding (JSCC).
Classical source coding only considers the syntactic information based on probabilistic …

We consider wireless transmission of images in the presence of channel output feedback, by
introducing an autoencoder-based deep joint source-channel coding (JSCC) scheme. We …

Semantic communication has shown great potential in boosting the effectiveness and
reliability of communications. However, its systems to date are mostly enabled by deep …

We present a deep learning based joint source channel coding (JSCC) scheme for wireless
image transmission over multipath fading channels with non-linear signal clipping. The …