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Improved Detection Performance of Cognitive Radio Networks in AWGN and Rayleigh Fading Environments

  • Published:2013-06 Issue:3 Volume:11 Page:437-446
  • ISSN:1665-6423
  • Container-title:Journal of Applied Research and Technology
  • language:en
  • Short-container-title:Journal of Applied Research and Technology

Author:

Lee Ying Loong,Saad Wasan Kadhim,Abd El-Saleh Ayman,Ismail Mahamod

Publisher

Universidad Nacional Autonoma de Mexico

Subject

General Engineering

Reference14 articles.

1. ET Docket No 03-222 Notice of proposed rulemaking and order,2003

2. A Survey on Spectrum Management in Cognitive Radio Networks;Akyildiz;IEEE Communications Magazine,2008

3. Cognitive Radio: Brain-Empowered Wireless Communications;Haykin;IEEE Journal on Selected Areas in Communications,2005

4. Implementation Issues in Spectrum Sensing for Cognitive Radios;Cabric,2004

5. A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications;Yucek;IEEE Communications Surveys & Tutorials,2009

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2. An artificial intelligence‐based spectrum sensing methodology for LoRa and cognitive radio networks;International Journal of Communication Systems;2023-01-05

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4. Evaluation of Hard Fusion Sensing Techniques under AWGN and Rayleigh Flat-fading channel for Cognitive Radio Network;2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT);2022-04-23

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