一个用于无线图像语义传输的恒星调制网络
Xiangcheng Li1,2, Dongri Ban1, Zhaokai Ruan1
1The School of Computer, Electronics and Information, Guangxi University, Nannning, 53004, China.
Scientific reports
|August 24, 2025
概括
这项研究介绍了STARJSCC,一个用于高效无线图像语义传输的轻量级框架. 它提高了各种条件的性能和适应性,同时降低了计算复杂性和模型大小.
科学领域:
- 无线通信
- 深度学习
- 图像处理
背景情况:
- 深度联合源通道编码 (DEEPJSCC) 是用于语义通信的广泛研究.
- 现有的DEEPJSCC方法面临效率,模型大小和计算复杂性的挑战.
研究的目的:
- 为高效无线图像语义传输开发一个轻量级的DEEPJSCC框架.
- 提高适应不同通道条件和传输速率的能力.
主要方法:
- 推出了STARJSCC,一个新的轻量级DEEPJSCC框架.
- 包含一个通道状态适应模块 (CSA Mod) 进行动态适应.
- 使用解的静态语义压缩 (SC) 面具进行速率控制.
主要成果:
- 与基线方案相比,STARJSCC表现出更高的性能和适应性.
- 在高分辨率图像传输方面实现了2.73dB的改进.
- 显著减少模型参数,计算复杂性和存储开销.
结论:
- 在资源有限的环境中,STARJSCC提供了高质量的无线图像传输的可行解决方案.
- 该框架为语义沟通提供了灵活性和效率.
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