Scalable Deep Joint Source-Channel Coding for Multi-User Wireless Image Transmission with Diverse Bandwidth Conditions

In recent years, Deep Joint Source-Channel Coding (DeepJSCC) has demonstrated superior performance over traditional digital schemes in wireless image transmission tasks. However, existing DeepJSCC approaches often overlook three critical challenges in broadcast communication scenarios: bandwidth het...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on wireless communications p. 1
Main Authors: Wang, Feng, Chen, Xuechen, Deng, Xiaoheng, Lin, Siyu
Format: Journal Article
Language:English
Published: IEEE 2025
Subjects:
Bandwidth
Codes
Decoding
deep joint source channel coding
Encoding
entropy model
high frequency detail
Image reconstruction
Image resolution
Multi resolution
scalable coding
Semantics
Signal resolution
Streaming media
Transmitters
ISSN:1536-1276, 1558-2248
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In recent years, Deep Joint Source-Channel Coding (DeepJSCC) has demonstrated superior performance over traditional digital schemes in wireless image transmission tasks. However, existing DeepJSCC approaches often overlook three critical challenges in broadcast communication scenarios: bandwidth heterogeneity among users, dynamic bandwidth variations experienced by individual users, and users diverse requirements. To address these issues, we propose a scalable DeepJSCC framework tailored for broadcast communications. This framework enables users to adaptively intercept an appropriate amount of encoded data according to their bandwidth conditions or specific requirements, thereby reconstructing images with corresponding quality. Specifically, the transmitter generates a multi-layered codestream, consisting of multiple base layers for image reconstruction at different resolutions, as well as enhancement layers built upon each base layer to improve visual quality. At the receiver, users can selectively intercept the base layer stream corresponding to their desired resolution, and further receive parts of the associated enhancement layer stream. This design allows for flexible and quality-adaptive image reconstruction based on the amount of data received. Extensive experiments demonstrate that the proposed scheme consistently achieves high-quality reconstruction across various resolutions and under diverse interception conditions.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2025.3630680