Improved GESD test for cooperative sensing over impaired cognitive radio networks

Sesham Srinu, Amit Kumar Mishra, Shiba Farooq

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

Abstract

Cooperative sensing is a process of getting spatial diversity gains to improve the performance of system over impaired cognitive radio networks (CRN). In this paper, an improved generalized extreme studentized deviate (IGESD) method is proposed for effective cooperative sensing, where the algorithm checks the normality of the soft decision data using Shapiro-Wilk (SW) test and estimates the expected number of malicious users in the network. These are the two essential inputs required for GESD test to eliminate significant malicious users accurately in the cooperative network. Hence, in this work, the cooperative spectrum sensing with differential evolution and improved GESD test is performed to enhance the sensing accuracy. The energy detection method is considered as local spectrum sensing due to less complexity and the property of incoherent detection. The results reveal that the cooperative spectrum sensing method with proposed IGESD method improves the sensing accuracy. It can detect low SNR signals of -17dB by employing eight nodes in the cooperation with sample size of 128 at desired sensing probabilities, specified in IEEE 802.22 WRAN standard.

Original languageEnglish
Title of host publication11th IEEE India Conference
Subtitle of host publicationEmerging Trends and Innovation in Technology, INDICON 2014
PublisherIEEE Press
Number of pages5
ISBN (Electronic)9781479953646
DOIs
Publication statusPublished - 11 Dec 2014
Externally publishedYes
Event11th IEEE India Conference, INDICON 2014 - Pune, India
Duration: 11 Dec 201413 Dec 2014

Publication series

Name11th IEEE India Conference: Emerging Trends and Innovation in Technology, INDICON 2014

Conference

Conference11th IEEE India Conference, INDICON 2014
Country/TerritoryIndia
CityPune
Period11 Dec 201413 Dec 2014

Keywords

  • Cognitive Radio
  • Cooperative Spectrum sensing
  • Energy detection
  • Improved GESD
  • Malicious user

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