Comparative Analysis of Spectrum Sensing Technique in Cognitive Radio Network

Authors

  • Nidhi Agarwal GLA University, Mathura
  • Pragya Pachauri GLA University, Mathura
  • Paran Maheshwari GLA University, Mathura
  • Gaurav Nagvanshi GLA University, Mathura

DOI:

https://doi.org/10.37628/jbcc.v3i1.578

Abstract

Cognitive Radio enhances the utilization of unused spectrum and globalized the radio environment for different band users that make use of various spectrum sensing techniques for transmission spectrum which involves spectrum usage characteristics across multiple dimensions such as time, space, frequency, and code and determining what type of signals are occupying the spectrum. In this project, cognitive radio spectrum sensing techniques are analyzed and Receiver operating characteristics of “Energy detection”, “Matched filter detection” and “Cyclostationary detection” for AWGN channel are compared. We have also analyzed receiver operating characteristics for different SNRs and Rayleigh fading channel.

Author Biographies

Nidhi Agarwal, GLA University, Mathura

Department of Electronic and Communication

Pragya Pachauri, GLA University, Mathura

Department of Electronic and Communication

Paran Maheshwari, GLA University, Mathura

Department of Electronic and Communication

Gaurav Nagvanshi, GLA University, Mathura

Department of Electronic and Communication

References

S. Jain, M.V. Raghunadh. Spectrum sensing based on cyclostationary detector using USRP, Int J Eng Trends Technol (IJETT). 2014; 11(4).

C. Singh Rawat, G. Genbhau Korde. Comparison between energy detection and cyclostationary detection for transmitter section of cognitive radio, Int J Electr Electron Data Commun. 2015; 3(12).

J. Chen, A. Gibson, J. Zafar. Cyclostationary spectrum detection in cognitive radio, Conference Paper. October 2008 DOI: 10.1049/ic:20080398. Source: IEEEXplore.

Z. Liu, R. Ali, I. Khan, I.A. Khan, A.A. Shah. Performance “Comparison of Energy and Cyclostationary Spectrum Detection in Cooperative Cognitive Radios Network’’ 978-1-4799-5341-7/16/$31.00 ©2016IEEE.

P.S. Aparna, M. Jayasheel. Cyclostationary feature detection in cognitive radio using different modulation schemes, Int J Comput Appl. 2012; 47(21): 0975 – 8887.

D. Jain, A. Kaur, S. Ahuja. Enhanced cognitive radio energy detection technique based on estimation of noise uncertainty, Int J Adv Res Comput Eng Technol (IJARCET). 2016; 5(5).

R. Vadilveu, K. Sankaranarayan, V. Vijayakumari. Matched filter based spectrum sensing for cognitive radio at low signal to noise ratio. J Theor Appl Inform Technol. 2014; 62(1).

G. Manikandan, N. Mathavan, M. Suresh, M. Paramasivam, V. Lavanya. Cognitive radio spectrum sensing techniques – a survey, Int J Adv Eng Technol.

S.I. Al Haj Mustafa, A. Babiker, N. Mustafa. Comparison of detection techniques in spectrum sensing, Int J Sci Res (IJSR).

Downloads

Published

2017-08-24

Issue

Vol. 3 No. 1 (2017)

Section

Articles