Cyclostationary detection for cognitive radio with multiple receivers

In order to detect the presence of the primary user signal, spectrum sensing is a fundamental requirement to achieve the goal of cognitive radio (CR). This ensures the efficient utilization of the spectrum. Cyclostationary detection is the preferred technique to detect the primary users receiving data within the communication range of a CR user at very low SNR. In this work, we investigate the performance of maximal ratio combining (MRC) based cyclostationary detector to detect a primary user. Using the proposed detection technique, we observed that the MIMO cognitive radio enjoys 6 dB SNR advantage over single antenna when using four receive antennas for all values of probability of detection.

[1]  Jonathan F Adlard.  Frequency shift filtering for cyclostationary signals , 2000 .

[2]  H. Vincent Poor,et al.  Spectrum Sensing in Cognitive Radios Based on Multiple Cyclic Frequencies , 2007, 2007 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[3]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[4]  Mohamed-Slim Alouini,et al.  Digital Communication over Fading Channels: Simon/Digital Communications 2e , 2004 .

[5]  Mohamed-Slim Alouini,et al.  On the Energy Detection of Unknown Signals Over Fading Channels , 2007, IEEE Transactions on Communications.

[6]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[7]  L.E. Doyle,et al.  Cyclostationary Signatures for Rendezvous in OFDM-Based Dynamic Spectrum Access Networks , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[8]  Linda Doyle,et al.  Cyclostationary Signature Detection in Multipath Rayleigh Fading Environments , 2007, 2007 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[9]  Friedrich Jondral,et al.  Air interface recognition for a software radio system exploiting cyclostationarity , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[10]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[11]  Georgios B. Giannakis,et al.  Statistical tests for presence of cyclostationarity , 1994, IEEE Trans. Signal Process..

[12]  H. Urkowitz.  Energy detection of unknown deterministic signals , 1967 .