Prediction of HF Spectral Occupancy over Eastern Mediterranean Region Using Machine Learning

The ability of various machine learning (ML) algorithms to analyse and predict spectral occupancy in the high frequency (HF) spectrum is compared. One year of data (June 2012–June 2013) of HF spectral occupancy measurements collected by a dedicated measurement system installed in Cyprus is investigated. To advance the data analysis from observational to predictive, eight ML algorithms are applied ...