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认知无线电研究进展及应用前景 被引量:5

Research Progresses and Application Perspectives in Cognitive Radio
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摘要 认知无线电被认为是解决频谱资源紧缺、提高频谱利用率的有效途径,成为现代无线通信领域的研究热点之一。在广泛调研的基础上,从频谱政策演进、网络与标准发展等方面综述了近10年来认知无线电的研究进展,展望了认知无线电在智能电网、宽带蜂窝网、公共安全网和医疗体域网等新兴无线通信业务方面的应用前景,并提出认知无线电领域未来的研究方向。 With the rapid growth of wireless communication services,the radio spectrum is becoming increasingly overcrowded.Cognitive radio is regarded as a promising approach to alleviate the spectrum shortage and improve the spectrum utilization.Thus,the cognitive radio recently becomes one of hot research sports in wireless communications area.Based on the extensive investigation,the research progresses made in cognitive radio during the past ten years are reviewed from the aspects of spectrum policy evolution,network structure and standard development,and the related work.The relevant literatures and the famous international research institutes that focus on the field of cognitive radio are listed.Then,the application prospects of cognitive radio are presented.It is shown that cognitive radio could provide spectrum resource for the emerging applications,such as smart grid networks,wideband cellular networks,public safety networks,and medical body area networks.The cognitive radio technology is able to promote the development of these new emerging communication services.In summary,cognitive radio has wide application prospects and is expected to be one of the 5G communication standards.Furthermore,the future research directions in the area of cognitive radio are put forward,which include robust spectrum sensing and cognitive relay networks based on multiple user cooperation.Therefore,a good guidance for the researchers in the field of cognitive radio is provided.
出处 《科技导报》 CAS CSCD 北大核心 2012年第3期74-79,共6页 Science & Technology Review
基金 国家自然科学基金项目(61173148) 广东省产学研重大项目(2010A090200057) 广州市科技计划项目(11A11060133) 广西民族大学科研基金课题(2011MDYB037)
关键词 认知无线电 频谱政策 网络标准 新兴无线业务 cognitive radio spectrum policy network standard new emerging wireless service
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参考文献45

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共引文献59

同被引文献41

  • 1闫友彪,陈元琰.机器学习的主要策略综述[J].计算机应用研究,2004,21(7):4-10. 被引量:56
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