Deep joint source-channel coding (DeepJSCC) has emerged as a novel technology in
semantic communication, coinciding with the increasing demand for edge devices in the …

Semantic communications is considered a promising technology that will increase the
efficiency of next-generation communication systems, particularly human-machine and …

Semantic communications, which aim to effectively convey the meaning of messages (such
as text and images) rather than transmitting the exact messages themselves, have garnered …

As one of the key techniques to realize semantic communications, end-to-end optimized
neural joint source-channel coding (JSCC) has made great progress over the past few …

Semantic communications (SemCom) have emerged as a new paradigm for supporting sixth-
generation applications, where semantic features of data are transmitted using artificial …

Wireless Sensor Networks (WSNs) have emerged as an efficient solution for numerous real-
time applications, attributable to their compactness, cost-effectiveness, and ease of …

Recent deep learning methods have led to increased interest in solving high-efficiency end-
to-end transmission problems. These methods, we call nonlinear transform source-channel …

Semantic communications are expected to accomplish various semantic tasks with relatively
less spectrum resource by exploiting the semantic feature of source data. To simultaneously …

Semantic communication is a newly emerged communication paradigm that exploits deep
learning (DL) models to realize communication processes like source coding and channel …

The implementation of joint source-channel coding (JSCC) schemes using deep learning
has accelerated the development of semantic communication research. Existing JSCC …