Advanced Spectrum Sensing in Cooperative Cognitive Radio Networks Using Data Fusion for Military Application

Abstract

To increase demand for wireless communication spectrum, cognitive radio (CR) technology has arised as a promising solution to efficiently utilize the available radio frequency bands. This paper presents a novel architecture for data fusion in cooperative cognitive radio networks and designed to address the critical challenges of spectrum sensing and management. The proposed architecture supports advanced data fusion techniques and cooperative spectrum sensing to enhance accuracy and speed while maintaining efficient utilization of the spectrum. Simulations provide significant improvements in both accuracy and speed of spectrum sensing.