Engineering a Lightweight Deep Joint Source-Channel-Coding-Based Semantic Communication System

Deep joint source-channel coding (DeepJSCC) has emerged as a novel technology in semantic communication, coinciding with the increasing demand for the edge devices in the Internet of Things (IoT). Consequently, the deployment of DeepJSCC on edge devices has become a crucial research direction. Howev...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE internet of things journal Vol. 12; no. 1; pp. 458 - 471
Main Authors:	Zhang, Weihan, Wu, Shaohua, Meng, Siqi, He, Jinghang, Zhang, Qinyu
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.01.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Coding Communications systems Compatibility Deep joint source-channel coding (DeepJSCC) Devices Digital systems edge devices Ensemble learning Fading Image reconstruction Internet of Things Internet of Things (IoT) Lightweight lightweight model Mathematical models quantization Quantization (signal) Rician channels Rician fading channel Semantics Signal to noise ratio Training Weight reduction
ISSN:	2327-4662, 2327-4662
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!