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Updated: Jul 15, 2025

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使用双深度学习模型提高光谱效率,用于IRS辅助的MU-MISO通信系统

Md Abdul Aziz1,2, Md Habibur Rahman1,2, Mohammad Abrar Shakil Sejan1,2

  • 1Department of Information and Communication Engineering, Sejong University, Seoul 05006, Republic of Korea.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
概括

本研究介绍了一个智能反射表面 (IRS) 辅助的Bi-LSTM深度学习模型,以提高无线系统的光谱效率 (SE). 这种新的方法通过优化用于IRS部署的道信息来提高通信性能.

关键词:
这是一个双LSTM.美国国税局 IRS IRS.机器学习是机器学习.多用户多输入单输出多输入频谱效率是指光谱效率的使用率.

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