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

Deep Joint Source-Channel Coding (DEEPJSCC) is an effective method for realizing
semantic communication. However, the existing DEEPJSCC methods cannot fully exploit the …

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 …

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

Semantic communications have emerged as a new communication paradigm that extracts
and transmits meaningful information relevant to receiver tasks. The trendy semantic coding …

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

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

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 …

Lightweight and efficient deep joint source-channel coding (JSCC) is a key technology for
semantic communications. In this paper, we design a novel JSCC scheme named …