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Cognitive radio (CR) is a promising technology for future wireless spectrum allocation to improve the use of licensed bands. However, security challenges faced by cognitive radio technology are still a hot research topic. One of prevailing challenges is the radio frequency jamming attack, where adversaries are able to exploit on-the-fly reconfigurability potentials and learning mechanism of cognitive...
A new algorithm for jammer detection is proposed in this work for wide-band (WB) cognitive radio networks. First, the received WB signal, which is comprised of multiple narrow-band (NB) signals, is recovered from sub-Nyquist rate samples using compressed sensing. Compressed sensing allows us to alleviate Nyquist rate sampling requirements at the receiver A/D converter. After the Nyquist rate signal...
This paper proposes a new algorithm for jammer detection in wide-band (WB) cognitive radio networks. We consider a WB which comprises of multiple fixed length narrow-band sub-bands (SB). These SBs are occupied by narrow-band signals which can be legitimate users or a jammer. To reduce the overhead of the analog-to-digital conversion (ADC), compressed sensing (CS) is performed first. CS allows us to...
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