Analysis of Spectrum Sensing Based on Energy Detection Method in Cognitive Radio Networks

Author

Swetha, Namburu ; Sastry, Panyam Narahari ; Rao, Yandra Rajasree

Author_Institution

Dept. of ECE, GRIET, Hyderabad, India

fYear

2014

fDate

28-30 Oct. 2014

Firstpage

1

Lastpage

4

Abstract

Spectrum sensing is an important aspect that maximizes the opportunistic usage of available spectrum. The cognitive/secondary users have to sense the spectrum repeatedly to prevent interference to licensed users. In this paper, an improved spectrum sensing model is proposed using energy detection technique. Using Central Limit theorem, an appropriate threshold is derived and the test statistics is obtained for Additive White Guassian Noise channel. The relation between detection probability and false alarm probability is derived. Computer Simulations were shown that an improved Pd can be obtained for QPSK and DVB-T signals.

Keywords

AWGN channels; cognitive radio; interference suppression; radio spectrum management; signal detection; telecommunication computing; DVB-T signals; QPSK; additive white guassian noise channel; central limit theorem; cognitive radio networks; cognitive-secondary users; computer simulations; energy detection probability method; false alarm probability; interference prevention; licensed users; opportunistic usage maximization; spectrum sensing analysis; test statistics; Cognitive radio; Digital video broadcasting; Phase shift keying; Probability; Sensors; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

IT Convergence and Security (ICITCS), 2014 International Conference on

Conference_Location

Beijing

Type

conf

DOI

10.1109/ICITCS.2014.7021738

Filename

7021738