Stochastically Resonant Spectrum Sensing Signal-to-Noise Ratio Improvements for Dynamic Spectrum Access Cognitive Radios

S. Jayram, K. Ouahada, G. Singh, F. Mekuria, A. Pitsillides, S. Rimer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2019 5th International Conference on Image Information Processing, ICIIP 2019
EditorsP. K. Gupta, Ekta Gandotra, Vipin Tyagi, Satya Prakash Ghrera, Vivek Kumar Sehgal
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages425-430
Number of pages6
ISBN (Electronic)9781728108988
DOIs
Publication statusPublished - Nov 2019
Event5th International Conference on Image Information Processing, ICIIP 2019 - Waknaghat, Solan, Himachal Pradesh, India
Duration: 15 Nov 201917 Nov 2019

Publication series

NameProceedings of the IEEE International Conference Image Information Processing
Volume2019-November
ISSN (Print)2640-074X

Conference

Conference5th International Conference on Image Information Processing, ICIIP 2019
Country/TerritoryIndia
CityWaknaghat, Solan, Himachal Pradesh
Period15/11/1917/11/19

Keywords

  • TV white space communications
  • cognitive radio
  • dynamic spectrum access
  • signal-to-noise ratio improvement
  • spectrum sensing
  • stochastic resonance

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Health Informatics
  • Radiology, Nuclear Medicine and Imaging

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