Superimposed Training Combined Approach for a Reduced Phase of Spectrum Sensing in Cognitive Radio

Superimposed Training Combined Approach for a Reduced Phase of Spectrum Sensing in Cognitive Radio

This paper presents an approach to exploit the superimposed training (ST)-based primary users’ (PUs) transmissions in the context of spectrum sensing for cognitive radio. In the low signal-to-noise ratio (SNR), the proposed scheme splits the spectrum sensing phase into two sample processin...

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Bibliographic Details
Main Authors: Lizeth Lopez-Lopez, Marco Cardenas-Juarez, Enrique Stevens-Navarro, Ulises Pineda-Rico, Armando Arce, Aldo G. Orozco-Lugo
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sensors
Subjects:
spectrum sensing
superimposed training
cognitive radio
Online Access:https://www.mdpi.com/1424-8220/19/11/2425

Internet

https://www.mdpi.com/1424-8220/19/11/2425

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