What is it about?
Identifying a spectrum hole in more than one primary user using machine learning methods
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Why is it important?
Spectrum hole identification in more than one primary user is more important to handover the calls to another primary user which is free.
Perspectives
When we starting working in cognitive radio more literature papers focused on sensing a system with a single primary user, so we try to find a solution to identify more than one primary user.
VENKATESH KUMAR
Sri Krishna College of Technology
Read the Original
This page is a summary of: Detection of spectrum hole from n-number of primary users using machine learning algorithms, The Journal of Engineering, November 2019, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/joe.2019.0024.
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