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

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 …

As one novel approach to realize end-to-end wireless image semantic transmission, deep
learning-based joint source-channel coding (deep JSCC) method is emerging in both deep …

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

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 …

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

Recent works have shown that joint source-channel coding (JSCC) schemes using deep
neural networks (DNNs), called DeepJSCC, provide promising results in wireless image …

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

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

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 …