期刊文献+

Radio spectrum awareness using deep learning: Identification of fading channels, signal distortions, medium access control protocols, and cellular systems

原文传递
导出
摘要 Radio spectrum awareness,including understanding radio signal activities,is crucial for improving spectrum utilization,detecting security vulnerabilities,and supporting adaptive transmissions.Related tasks include spectrum sensing,identifying systems and terminals,and understanding various protocol layers.In this paper,we investigate various identification and classification tasks related to fading channel parameters,signal distortions,Medium Access Control(MAC)protocols,radio signal types,and cellular systems.Specifically,we utilize deep learning methods in those identification and classification tasks.Performance evaluations demonstrate the effectiveness of deep learning in those radio spectrum awareness tasks.
出处 《Intelligent and Converged Networks》 2021年第1期16-29,共14页 智能与融合网络(英文)
  • 相关文献

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