Spectrum Detection Based Cyclostationarity in Spectrum Pooling System

Cognitive radios should have the capability to detect idle spectrum and share it without harmful interference with other users. This paper presents a strategy for extracting second-order cyclostationary characteristics of licensed system and rental system signals based on spectrum pooling system. According to cyclostationary characteristics of licensed users signals received at the nodes of CRs, predicting whether a signal from a primary transmitter is locally present or not and estimates the channel allocation information. In this paper, formulas for calculations of cyclostationary characteristics are derived and consistent conclusions are illustrated using simulation results.

[1]  R.W. Brodersen,et al.  Implementation issues in spectrum sensing for cognitive radios , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[2]  Linda Doyle,et al.  Cyclostationary Signatures in Practical Cognitive Radio Applications , 2008, IEEE Journal on Selected Areas in Communications.

[3]  Antonio Napolitano,et al.  Cyclostationarity: Half a century of research , 2006, Signal Process..

[4]  Friedrich Jondral,et al.  On the extraction of the channel allocation information in spectrum pooling systems , 2007, IEEE Journal on Selected Areas in Communications.

[5]  Friedrich Jondral,et al.  Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency , 2004, IEEE Communications Magazine.

[6]  Friedrich K. Jondral,et al.  Comparison of GMSK and linear approximated GMSK for use in software radio , 1998, 1988 IEEE 5th International Symposium on Spread Spectrum Techniques and Applications - Proceedings. Spread Technology to Africa (Cat. No.98TH8333).

[7]  Ian F. Akyildiz,et al.  A survey on spectrum management in cognitive radio networks , 2008, IEEE Communications Magazine.