Abstract

In cooperative spectrum sensing of cognitive radio based network, various methods of soft decision fusion (SDF) and hard decision fusion (HDF) schemes have been proposed to optimize the performance of detecting primary users so that they are well-protected from harmful cognitive radio access. In this paper, cross entropy (CE) based algorithm is proposed as an efficient technique for optimizing the weighting coefficients vector of an SDF-based cooperative spectrum sensing scheme. The proposed CE based algorithm is compared with existing deterministic methods as well as with an evolutionary-based genetic algorithm (GA) method. Simulation results show that the proposed CE scheme outperforms the other schemes in terms of the achievable fitness of primary users' detection probability, convergence, and stability.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.