无线电工程2025，Vol.55Issue(7)：1422-1430,9.DOI:10.3969/j.issn.1003-3106.2025.07.007
一种适用于资源受限平台的语义无线图像传输方法
A Semantic Wireless Image Transmission Approach for Resource-constrained Platforms
摘要
Abstract
As one of the key technologies for realizing semantic wireless communication,end-to-end Joint Source-Channel Coding(JSCC)has made significant progress in recent years.JSCC relies heavily on deep learning models,and the training of these complex neural networks often demands substantial computational resources.This presents a significant challenge for resource constrained platforms,such as mobile or embedded devices.A lightweight semantic wireless communication network,namely MobileJSCC,is introduced to significantly reduce computational complexity without compromising communication quality,thereby facilitating deployment on mobile or embedded systems.Experiments have validated that MobileJSCC achieves image recovery performance comparable to that of state-of-the-art JSCC methods under various image resolutions,signal to noise ratios,and channel conditions,while greatly decreasing the computational operations and parameters required by the network model.关键词
语义无线通信/联合源信道编码/轻量化/语义无线图像传输Key words
semantic wireless communication/JSCC/lightweight/semantic wireless transmission of images分类
信息技术与安全科学引用本文复制引用
黄军韬,赵响,香晏..一种适用于资源受限平台的语义无线图像传输方法[J].无线电工程,2025,55(7):1422-1430,9.基金项目
国家自然科学基金地区科学基金项目(61961007)Regional Science Program of National Natural Science Foundation of China(61961007) （61961007）
