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...

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Vydané v:	IEEE internet of things journal Ročník 12; číslo 1; s. 458 - 471
Hlavní autori:	Zhang, Weihan, Wu, Shaohua, Meng, Siqi, He, Jinghang, Zhang, Qinyu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.01.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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