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在阻塞和实际限制下优化智能反射表面辅助可见光通信网络,使用TLBO用于物联网应用
Vipul Dixit1, Ajit Kumar2, Nishant Sharan2
1School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India.
Scientific reports
|July 28, 2025
概括
这项研究引入了智能反射表面辅助可见光通信 (IRS-VLC) 系统的新型优化. 新方法提高了物联网 (IoT) 设备的信号质量和照明均性,即使有阻塞.
科学领域:
- 无线通信无线通信
- 光学工程是指光学工程.
- 计算机科学 计算机科学
背景情况:
- 物联网 (IoT) 设备在6G网络中的集成为无线通信系统带来了机遇和挑战.
- 可见光通信 (VLC) 是提供对物联网设备无线访问的关键技术,特别是在室内环境中.
- 现有的VLC系统在性能上面临限制,特别是在存在障碍物和需要均照明的情况下.
研究的目的:
- 为智能反射表面 (IRS) 辅助的VLC系统开发和评估一种新的基于教学学习的优化 (TLBO) 算法.
- 为了最大限度地提高信号噪声比 (SNR) 和改善室内环境中的物联网设备的照明均性.
- 在现实的条件下评估系统的性能,包括人类和家具的阻塞.
主要方法:
- 实施TLBO算法以优化IRS辅助VLC系统的配置.
- 对系统性能进行模拟和分析,重点关注SNR,接收功率和照明均性.
- 在现实的室内场景下进行评估,有不同程度的障碍物和设备放置.
主要成果:
- 优化TLBO的IRS-VLC系统在SNR和照明均性方面取得了显著的改进,达到0-0.2.2.的最佳变化系数 (CoV).
- 性能增长,包括SNR和接收功率,随着IRS元素的数量增加而增加,设备的战略定位产生了优异的结果.
- 与遗传算法 (GA) 和粒子群优化 (PSO) 相比,TLBO算法表现出更快的融合,更高的适应性值和更大的稳定性.
结论:
- 拟议的TLBO优化的IRS-VLC系统有效地克服了物理障碍,提高了室内物联网应用的通信可靠性和照明条件.
- 物联网设备和IRS元件的战略布局对于最大限度地提高系统性能至关重要.
- 由于其效率和稳定性,TLBO是一种非常适合实时IRS-VLC基于物联网应用的优化技术.
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