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物联网中面向视频传输的GAN增强型语义通信系统

向晨 刘鹏程 吕娇 王潇 王周恺

无线电工程2026,Vol.56Issue(2):231-241,11.
无线电工程2026,Vol.56Issue(2):231-241,11.DOI:10.3969/j.issn.1003-3106.2026.02.005

物联网中面向视频传输的GAN增强型语义通信系统

GAN-enhanced Semantic Communication System for Reliable Video Transmission in the Internet of Things

向晨 1刘鹏程 1吕娇 1王潇 2王周恺3

作者信息

  • 1. 中国人民解放军61363 部队,陕西 西安 710054
  • 2. 西安理工大学计算机科学与工程学院,陕西 西安 710048
  • 3. 西安理工大学计算机科学与工程学院,陕西 西安 710048||陕西省网络计算与安全技术重点实验室,陕西 西安 710048
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摘要

Abstract

High-reliability video transmission in internet of things environments is crucial for critical applications such as intelligent surveillance and remote operations.However,the coupling of physical channel noise and visual semantic noise often affects video transmission quality.To effectively improve video transmission quality in internet of things environments while ensuring transmission reliability,a video semantic communication system robust to multi-dimensional noise based on Generative Adversarial Network(GAN)is proposed.The system integrates GAN into Deep Video Semantic Communication(DVSC)systems,incorporating Residual Channel Attention Block(RCAB)and multi-scale convolution-deconvolution structures to enhance semantic preservation and detail reconstruction capabilities under complex noise interference.Furthermore,it employs multi-scale discriminators and spectral normalization techniques to effectively stabilize adversarial training,mitigate mode collapse,and enhance the discriminator's capability in distinguishing video frames under adverse channel conditions.Finally,a multi-objective optimization function is designed by fusing pixel-level fidelity,perceptual similarity,and adversarial loss to collaboratively optimize video reconstruction quality.Experimental results demonstrate that compared to traditional methods,the proposed system improves video reconstruction quality and robustness under multi-dimensional noise conditions such as low Signal to Noise Ratios(SNR),with particularly significant quality improvements in high-noise environments.The effectiveness of the system in enhancing internet of things video communication reliability is validated,providing a novel solution for Ultra-Reliable and Low Latency Communications(URLLC).

关键词

语义通信/生成对抗网络/残差通道注意力/多尺度判别/谱归一化/物联网

Key words

semantic communication/GAN/residual channel attention/multi-scale discriminator/spectral normalization/internet of things

分类

信息技术与安全科学

引用本文复制引用

向晨,刘鹏程,吕娇,王潇,王周恺..物联网中面向视频传输的GAN增强型语义通信系统[J].无线电工程,2026,56(2):231-241,11.

基金项目

国家重点研发计划(2024YFF1401303) National Key Research and Development Program of China(2024YFF1401303) (2024YFF1401303)

无线电工程

1003-3106

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