首页|认知无线电频谱感知技术研究综述

认知无线电频谱感知技术研究综述

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频谱感知技术可以优化频谱资源的利用、提高通信质量、实现智能无线网络,能有效缓解移动通信和物联网对高速、高质量无线连接的需求与有限频谱资源间的矛盾.鉴于此,对传统的频谱感知技术进行了综述;归纳了基于深度学习的频谱感知检测方法,对这些方法的优势和不足进行了深入分析;梳理了智能反射面(Intelligent Reflecting Surface,IRS)与频谱感知相结合的技术;探讨了频谱感知检测技术现阶段面临的问题和未来发展趋势.
A Survey on Cognitive Radio Spectrum Sensing Technology
Spectrum sensing technology can optimize the use of spectrum resources,improve communication quality and realize intelligent wireless networks,and can effectively alleviate the contradiction between the demand for high-speed,high-quality wireless connections in mobile communications and the Internet of Things and limited spectrum resources.In view of this,the traditional spectrum sensing techniques are reviewed;spectrum sensing detection methods based on deep learning are summarized,and the advantages and disadvantages of these methods are analyzed in depth;the technologies that combine Intelligent Reflecting Surface(IRS)with spectrum sensing are sorted out;the current problems and future development trends of spectrum sensing detection technology are discussed.

spectrum sensingenergy detectiondeep learningIRS

张航领、周顺勇、胡琴、陆欢、彭梓洋、朱豪

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四川轻化工大学 自动化与信息工程学院,四川宜宾 644609

人工智能四川省重点实验室,四川宜宾 644609

频谱感知 能量检测 深度学习 智能反射面

2024

无线电工程
中国电子科技集团公司第五十四研究所

无线电工程

影响因子:0.667
ISSN:1003-3106
年,卷(期):2024.54(11)