Case study of TV spectrum sensing model based on machine learning techniques

Author:

Mohammad Abdalaziz,Awin Faroq,Abdel-Raheem Esam

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

General Engineering

Reference35 articles.

1. Ieee 802.22: The first cognitive radio wireless regional area network standard;Stevenson;IEEE Commun Mag,2009

2. Development of a case-based reasoning cognitive engine for ieee 802.22 wran applications;He;ACM SIGMOBILE Mob Comput Commun Rev,2009

3. Real-time implementation of multiband spectrum sensing using sdr technology;Molina-Tenorio;Sensors,2021

4. The theoretical performance of atsc spectrum sensing;Shellhammer,2011

5. Spectrum sensing algorithm based on atsc dtv signal structure;Cong;Int J Smart Sens Intell Syst,2013

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1. Wideband Spectrum Sensing Utilizing Cumulative Distribution Function and Machine Learning;2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM);2023-09-21

2. Cognitive Radio with Machine Learning to Increase Spectral Efficiency in Indoor Applications on the 2.5 GHz Band;Sensors;2023-05-19

3. Spectrum Sensing based on an improved deep learning classification for cognitive radio;2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2022-11-16

4. Automatic Spectrum Sensing Techniques Using Support Vector Machine In Cognitive Radio Network;2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2022-04-21

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