期刊文献+

人工智能技术在认知无线电中的应用 被引量:1

On the Application of Artificial Intelligence Technology in Cognitive Radio
下载PDF
导出
摘要 无线电是指在所有空间传播的电磁波,是一个上限频率在300 GHz,下限频率不固定的有限频带。无线电自发展以来被广泛应用于通信、电力传输等各个领域,为人们日常生活带来了便利。随着人工智能技术的普及和发展,认知无线电的概念逐步进入大众视野。作为无线通信领域和人工智能领域结合的产物,智能性是认知无线电区别于传统无线电的主要特性。因此,重点对人工智能技术在认知无线电中的应用展开探讨。 Radio refers to the electromagnetic wave propagating in all space,which is a limited band with upper trequency at 300GHZ and lower frequency unfixed.Since its development,radio has been widely used in communication,power transmission and other fields,bringing convenience to People's Daily life.With the popularization and development of artificial intelligence technology,the concept of cognitive radio has gradually entered the public view.As a product of the combination of wireless communication and artificial intelligence,intelligence is the main characteristic of cognitive radio different from traditional radio.Based on the above background,this paper discusses the application of artificial intelligence technology in cognitive radio.
作者 赵冠州 ZHAO Guan-zhou(Dali University,Dali 671000,China)
机构地区 大理大学
出处 《通信电源技术》 2018年第10期175-176,178,共3页 Telecom Power Technology
关键词 人工智能 认知无线电 无线通信 artificial intelligence cognitive radio:wireless communication
  • 相关文献

参考文献4

二级参考文献34

  • 1Haykin S. Cognitive Radio: Brain--Empowered Wireless Communications[J]. IEEE JSAC, 2005,23(2): 201-220.
  • 2Mody A N, Blatt S R, Mills D G, et al. Recent Advances in Cognitive Communications[J]. IEEE Communication Magazine, 2007(10).
  • 3Rondeau T W, Le B, Rieser C J, et al. Cognitive Radios with Genetic Algorithms: Intelligent Control of Software Defined Radios[C]. Software Defined Radio Forum Technical Conference, Phoenix, AZ., 2004: C 3-8.
  • 4Thomas W Rondeau. Application of Artificial Intelligence to Wireless Communications[D]. FhD. Blacksburg: Virginia Polytechnic Institute and State University, 2007: 11-12.
  • 5Clancy C, Stuntebeck E. Applications of Machine Learning to Cognitive Radio Networks[J]. IEEE Wireless Communications, 2007(8).
  • 6Nolan K E, Sutton P, Doyle L E. An Encapsulation for Reasoning, Learning, Knowledge Representation and Reconfiguration Cognitive Radio Elements[C]. Cognitive Radio Oriented Wireless Networks and Communications, 2006.
  • 7Feng Ge, Qinqin Chen, Ying Wang, et al. Cognitive Radio: From Spectrum Sharing to Adaptive Learning and Reconfiguration[C]. Aerospace Conference,2008 IEEE. 1-8 March 2008: 1-10.
  • 8Thomas W Rondeau, Bin Le, David Maldonado, et al. Optimization, Learning, and Decision Making in a Cognitive Engine[C]. Proceeding of the SDR 06 Technical and Product Exposition, 2006.
  • 9Joseph Gaeddert, Kyouwoong Kim, Rekha Menon, et al. Applying Artificial Intelligence to the Development of a cognitive Radio Engine[J/OL]. (2006-11-06) http://wireless. vt. edu/archives/download/ApplyingArtificialIntelligence. pdf.
  • 10Rondeau T W, Le B, David Maldonado, et al. Cognitive Radio Formulation and Implementation[C]. 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications,2006. 8-10 June 2006: 1-10.

共引文献4

同被引文献1

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部