Spectrum Sensing Time Optimization Using Kullback-Leibler Divergence (KLDOSS)

Manimegalai Munisamy, Janani Munisamy

Abstract: Effective and quick spectrum sensing forms the major deciding criterion in any cognitive radio environment. A spectrum sensing scheme, using Kullback-Leibler Divergence with optimized spectrum sensing (KLDOSS) time in order to avail and identify the underutilized spectrum effectively is presented in this paper. Simulation results highlighting the competitive edge of this scheme, with higher probability of detection over various Signal to noise ratio (SNR) is also shown. This optimized scheme utilizes Log-Likelihood ratio (LLR) of all Secondary Users (SU) during each sensing instance, with Fusion Centre (FC) acquiring and assimilating these information to estimate the likelihood of spectrum availability.

Keywords: Spectrum Sensing Time Optimization, Kullback-Leibler Divergence, KLDOSS

How to Cite?: Manimegalai Munisamy, Janani Munisamy, "Spectrum Sensing Time Optimization Using Kullback-Leibler Divergence (KLDOSS)", Volume 8 Issue 8, August 2019, International Journal of Science and Research (IJSR), Pages: 2297-2301, https://www.ijsr.net/getabstract.php?paperid=SR23501131607, DOI: https://dx.doi.org/10.21275/SR23501131607