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

In recent developments, deep learning (DL)-based joint source-channel coding (JSCC) for
wireless image transmission has made significant strides in performance enhancement …

Machine learning techniques have recently offered powerful tools for designing joint source-
channel coding (JSCC) schemes with impressive performance results. Recent works have …

Recent research on joint source channel coding (JSCC) for wireless communications has
achieved great success owing to the employment of deep learning (DL). However, the …

With the development of deep learning (DL), joint source-channel coding (JSCC) solutions
for end-to-end transmission have gained a lot of attention. Adaptive deep JSCC schemes …

Considering the problem of joint source-channel coding (JSCC) for multi-user transmission
of images over noisy channels, an autoencoder-based novel deep joint source-channel …

Significant progress has been made in wireless Joint Source-Channel Coding (JSCC) using
deep learning techniques. The latest DL-based image JSCC methods have demonstrated …

Joint source–channel coding (JSCC) based on deep learning has shown significant
advancements in image transmission tasks. However, previous channel-adaptive JSCC …

We present a novel adaptive deep joint source-channel coding (JSCC) scheme for wireless
image transmission. The proposed scheme supports multiple rates using a single deep …

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 …