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Sequential Detection for Cognitive Radio With Multiple Primary Transmit Power Levels

  • Published:2017-07 Issue:7 Volume:65 Page:2769-2780
  • ISSN:0090-6778
  • Container-title:IEEE Transactions on Communications
  • language:
  • Short-container-title:IEEE Trans. Commun.

Author:

Li Zan,Cheng ShuijunORCID,Gao Feifei,Liang Ying-ChangORCID

Funder

National Natural Science Foundation of China

National key scientific and technological innovation team plan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. When the Warden Does Not Know Transmit Power: Detection Performance Analysis and Covertness Strategy Design;IEEE Transactions on Communications;2024-06

2. Deep Learning Aided Multi-Level Transmit Power Recognition in Cognitive Radio Networks;IEEE Transactions on Cognitive Communications and Networking;2023-04

3. Improving energy detection performance using segment of primary user signal energy in wide-band cognitive radio systems;THE 15TH UNIVERSITI MALAYSIA TERENGGANU ANNUAL SYMPOSIUM 2021 (UMTAS 2021);2023

4. CNN-Enabled Multiple Power-Levels Identification in Cognitive Radio Networks;GLOBECOM 2022 - 2022 IEEE Global Communications Conference;2022-12-04

5. Artificial intelligence based learning for wireless application – A survey;EIGHTH INTERNATIONAL CONFERENCE NEW TRENDS IN THE APPLICATIONS OF DIFFERENTIAL EQUATIONS IN SCIENCES (NTADES2021);2022
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