Stochastically Resonant Spectrum Sensing Signal-to-Noise Ratio Improvements for Dynamic Spectrum Access Cognitive Radios
Date
2019Place of publication
Himachal Pradesh, IndiaSource
2019 Fifth International Conference on Image Information Processing (ICIIP)Pages
425-430Google Scholar check
Metadata
Show full item recordAbstract
This paper investigates Stochastically Resonant Spectrum Sensing (SRSS) for Dynamic Spectrum Access (DSA) in TV White Space (TVWS) radio networks. We employ a typical Overdamped Bi-stable Oscillator and demonstrate the effect using Additive Noise as a base model and the impact of logarithmically scaled Stochastically Resonant Noise as well as various different distributions for the injected SR Noise.