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
