vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff34501f000000e422000001000300 Cognitive Radio (CR) is a promising technology to exploit the underutilized spectrum. Spectrum sensing is one of the most important components for the establishment of cognitive radio system. Spectrum sensing allows the secondary users (SUs) to detect the presence of the primary users (PUs). The aim of this work is to create a CR environment to study the spectrum sensing methods using Universal software radio Peripheral (USRP) boards. In this paper a novel method of estimation of spectrum opportunities in multiple dimensions especially the space and the angle dimensions are carried out on USRP boards. This paper typically provides the experimental results carried out in an indoor wireless environment. To enhance the sensing performance the space dimension is firstly studied using spatial diversity of the cooperative SUs. Secondly the receiver diversity is analyzed using multiple antennas to enhance the error performance of the wireless system. The spectrum usage is also determined in the angle dimension by investigating the direction of the dominant signals using MUSIC algorithm.
Deepa N Reddy1, Y Ravinder2, Chetna Sharma3
Rajarshi Shahu College of Engineering, India1, Pune Institute of Computer Technology, India2, Pune Institute of Computer Technology, India3
Cognitive Radio, Multi-Dimensional Sensing, Diversity, USRP, MUSIC Algorithm
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| Published By :
ICTACT
Published In :
ICTACT Journal on Communication Technology
( Volume: 7 , Issue: 2 , Pages: 1289-1294 )
Date of Publication :
June 2016
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