无线电工程2024,Vol.54Issue(11) :2527-2536.DOI:10.3969/j.issn.1003-3106.2024.11.003

认知无线电频谱感知技术研究综述

A Survey on Cognitive Radio Spectrum Sensing Technology

张航领 周顺勇 胡琴 陆欢 彭梓洋 朱豪
无线电工程2024,Vol.54Issue(11) :2527-2536.DOI:10.3969/j.issn.1003-3106.2024.11.003

认知无线电频谱感知技术研究综述

A Survey on Cognitive Radio Spectrum Sensing Technology

张航领 1周顺勇 1胡琴 1陆欢 1彭梓洋 1朱豪1
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作者信息

  • 1. 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
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摘要

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.

Abstract

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.

关键词

频谱感知/能量检测/深度学习/智能反射面

Key words

spectrum sensing/energy detection/deep learning/IRS

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出版年

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
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