Real-time wide-band spectrum sensing for cognitive radio

Cognitive radio has received considerable amount of attention as a promising technique to provide dynamic spectrum allocation. Wide-band spectrum sensing is the corner stone for cognitive radio to be functional. Most existing commercial sensing solutions lack either the required flexibility or speed. Software-defined radio (SDR) on the other hand offers very high flexibility and therefore becomes a common platform for CR implementation. Among various SDR platforms, the universal software-defined radio peripheral (USRP) gained broad popularity. This paper presents a real-time wide-band-capable spectrum sensing solution based on USRP. The concept of energy detection and the methodology for wide-band sensing are explained. Finally, the performance of the proposed sensing solution is verified and compared with another popular commercial sensing solution, Airmagnet.

[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]  Norman C. Beaulieu,et al.  An Optimal Algorithm for Wideband Spectrum Sensing in Cognitive Radio Systems , 2010, 2010 IEEE International Conference on Communications.

[3]  Georgios B. Giannakis,et al.  A Wavelet Approach to Wideband Spectrum Sensing for Cognitive Radios , 2006, 2006 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[4]  Simon Haykin,et al.  Communication Systems , 1978 .

[5]  Linda Doyle,et al.  Iris: an architecture for cognitive radio networking testbeds , 2010, IEEE Communications Magazine.

[6]  Hüseyin Arslan,et al.  A survey of spectrum sensing algorithms for cognitive radio applications , 2009, IEEE Communications Surveys & Tutorials.

[7]  Adrian W. Graham,et al.  Mobile Radio Network Design in the VHF and UHF Bands: A Practical Approach , 2007 .

[8]  H. Vincent Poor,et al.  Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks , 2008, IEEE Transactions on Signal Processing.

[9]  E. Buracchini,et al.  The software radio concept , 2000, IEEE Commun. Mag..

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