DocumentCode :
3015193
Title :
On jamming models against collaborative spectrum sensing in a simple cognitive radio network
Author :
Nadendla, V. Sriram Siddhardh Sid ; Chen, Hao ; Varshney, Pramod K.
Author_Institution :
Dept. of EECS, Syracuse Univ., Syracuse, NY, USA
fYear :
2010
fDate :
7-10 Nov. 2010
Firstpage :
961
Lastpage :
965
Abstract :
We design the optimal jamming attack strategy for a cognitive radio network in the presence of path-loss decaying signal models. We consider a cognitive radio network with K participating cognitive radios and one fusion center in the presence of one primary user and one jammer in the operating region. We assume that the network is not aware of the presence of the jammer and hence employs the optimal decision rules designed for a benign environment. Jammer, on the other hand, tries to take advantage of this ignorance and carries the best possible attack so that it can maximally deteriorate the global performance (error-probability) of the network under a total power-constraint. We consider a two-fold attack - one on the CR (sensor) reception and other on the fusion center reception. We present numerical results depicting near-field and far-field effects over different path-loss exponents to find the optimal jamming attack for a relatively simple example where the network has only one sensor (K = 1). This example serves as an illustration of the basic concepts and will be followed by a more in-depth study.
Keywords :
cognitive radio; jamming; spread spectrum communication; cognitive radio network; collaborative spectrum sensing; far-field effect; jammer; jamming model; near-field effect; optimal jamming attack strategy; path-loss decaying signal model; Cognitive radio; Equations; Jamming; Mathematical model; Measurement; Numerical models; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-9722-5
Type :
conf
DOI :
10.1109/ACSSC.2010.5757710
Filename :
5757710
Link To Document :
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