智能反射表面的反算法:相位移矩阵和单位反.
Sarmad Sohaib1, Muhammad Ahmad2, Muhammad Shafi3
1Department of Electrical and Electronic Engineering, University of Jeddah, Jeddah, Saudi Arabia.
本研究介绍了用于智能反射表面 (IRS) 的两个反算法. 与相位转移矩阵 (PSM) 方法相比,单位反 (SBF) 算法在相位调整效率方面提供了更高的性能.
科学领域:
- 无线通信无线通信
- 超材料是指一种超材料.
- 信号处理 信号处理
背景情况:
- 智能反射表面 (IRS) 正在获得吸引力,以提高无线通信的效率.
- 在IRS中优化相位调整对于最大限度地提高信号噪声比 (SNR) 是至关重要的.
- 现有的IRS阶段调整方法可能是复杂和计算密集的.
研究的目的:
- 介绍和比较两种用于IRS阶段调整的新反算法:基于阶段转移矩阵 (PSM) 和基于单位反 (SBF).
- 评估这些算法的效率,以提高IRS的业绩.
- 为了确定哪种算法在平均比特错误率方面产生更好的结果.
主要方法:
- 开发了一个基于PSM的算法,其中从预定义的矩阵中选择IRS相位移向量,以最大化接收器SNR.
- 引入了一个基于SBF的算法,涉及代随机相变和从接收器到发射器的二进制反.
- 进行模拟以比较两个算法的平均比特错误率性能.
主要成果:
- 与基于PSM的算法相比,基于SBF的算法表现出更高的性能.
- 基于SBF的IRS元件的相位调整在优化信号传输方面被证明更有效.
- 模拟结果表明,使用SBF方法的平均比特错误率较低.
结论:
- 基于SBF的反算法是IRS系统中相位调整的更有效的方法.
- 这项研究强调了SBF在未来的无线网络中实际实施的潜力.
- 调查结果表明,SBF可以显著提高IRS辅助通信系统的整体性能.
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