The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …

Along with the springing up of the semantics-empowered communication (SemCom)
research, it is now witnessing an unprecedentedly growing interest towards a wide range of …

Communication systems to date primarily aim at reliably communicating bit sequences.
Such an approach provides efficient engineering designs that are agnostic to the meanings …

Semantic communication, regarded as the breakthrough beyond the Shannon paradigm,
aims at the successful transmission of semantic information conveyed by the source rather …

Recently, deep learned enabled end-to-end communication systems have been developed
to merge all physical layer blocks in the traditional communication systems, which make joint …

Semantic communications has received growing interest since it can remarkably reduce the
amount of data to be transmitted without missing critical information. Most existing works …

In this paper, we design a new class of high-efficiency deep joint source-channel coding
methods to achieve end-to-end video transmission over wireless channels. The proposed …

In this paper, we propose a class of high-efficiency deep joint source-channel coding
methods that can closely adapt to the source distribution under the nonlinear transform, it …

Deep learning (DL) based semantic communication methods have been explored for the
efficient transmission of images, text, and speech in recent years. In contrast to traditional …

We present DeepWiVe, the first-ever end-to-end joint source-channel coding (JSCC) video
transmission scheme that leverages the power of deep neural networks (DNNs) to directly …