Joint Sub-Nyquist Wideband Spectrum Sensing For Cognitive Radio Networks

Abstract

Due to the unique and significant role that radio frequency (RF) spectrum plays in wireless communications, it is an essential but closely regulated resource. Wireless services have increased RF spectrum demand, which has resulted in a dearth of spec trum resources. Cognitive radio has been developed as a result of a lack of available spectrum and the primary users’ inefficient use of spectral resources. Cognitive radio is one of the trendiest and most promising techniques for maximising spectrum utiliza tion in next-generation cellular networks. The essential prerequisite for next cognitive radio networks is wideband spectrum sensing. Future cognitive technologies will need advanced sensing techniques for speedy, active spectrum hole identification across a range of frequencies. Cooperative spectrum sensing is the approach for evaluation of white space when several secondary users work in the collaboration is proposed here. Enhancing sensing efficiency, lowering computing complexity, and increasing spectrum usage by white space devices are all achieved by incorporating prior data from the ge olocation database. The geolocation database’s prior information combined with the sensing scheme improves spectrum sensing performance while minimising complexity, making it more suitable for low-power cognitive device