César Hernández Suárez

Entropy-Based Spectrum Sensing for Cognitive Radio Networks Using Machine Learning and Software Defined Radio

Ernesto Cadena Muñoz, Diego Armando Giral, César Hernández Suárez

Efficient spectrum sensing remains a main challenge for Cognitive Radio Networks (CRNs), especially in a wireless environment where methods like energy detection have high uncertainty. This work proposes an entropy-based spectrum-sensing system enhanced with machine-learning algo…Read more