Feature-Based Deep Neural Networks for Short-Term Prediction of WiFi Channel Occupancy Rate
Spectrum occupancy prediction is a key enabling technology to facilitate a proactive resource allocation for dynamic spectrum management systems. This work focuses […]
Applying Deep Neural Networks for Duty Cycle Estimation
A pro-active spectrum usage prediction is a key technique in decision making and spectrum selection for dynamic spectrum access systems. This work […]
On the Sample Size for the Estimation of Primary Activity Statistics Based on Spectrum Sensing
Dynamic spectrum access (DSA)/cognitive radio (CR) systems can benefit from the knowledge of the activity statistics of primary channels, which can use […]