Abstract

There are new system implementation challenges involved in the design of cognitive radios, which have both the ability to sense the spectral environment and the flexibility to adapt transmission parameters to maximize system capacity while coexisting with legacy wireless networks. The critical design problem is the need to process multigigahertz wide bandwidth and reliably detect presence of primary users. This places severe requirements on sensitivity, linearity and dynamic range of the circuitry in the RF front-end. To improve radio sensitivity of the sensing function through processing gain we investigated three digital signal processing techniques: matched filtering, energy detection and cyclostationary feature detection. Our analysis shows that cyclostationary feature detection has advantages due to its ability to differentiate modulated signals, interference and noise in low signal to noise ratios. In addition, to further improve the sensing reliability, the advantage of a MAC protocol that exploits cooperation among many cognitive users is investigated.

Keywords

Cyclostationary processCognitive radioComputer scienceBandwidth (computing)WirelessFlexibility (engineering)Transmission (telecommunications)Electronic engineeringReal-time computingComputer networkTelecommunicationsEngineeringChannel (broadcasting)

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Publication Info

Year
2005
Type
article
Volume
1
Pages
772-776
Citations
2584
Access
Closed

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2584
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132
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1582
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Cite This

Danijela Čabrić, Shridhar Mubaraq Mishra, R.W. Brodersen (2005). Implementation issues in spectrum sensing for cognitive radios. Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004. , 1 , 772-776. https://doi.org/10.1109/acssc.2004.1399240

Identifiers

DOI
10.1109/acssc.2004.1399240

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Data completeness: 77%