International Collaboration for a Cognitive Radio Testbed

With the constant advances in cognitive radio technology, there is a developing need for proper testing facilities. This paper introduces efforts to bring together research and development of cognitive radio, dynamic spectrum access (DSA), and software defined radio systems to enable testing in real-world environments, and to develop applications for these emerging systems. Using licensed test spectrum available to CTVR in Ireland, we propose a flexible, extensible cognitive radio platform designed to interface with different SDR, sensing, learning, and cognitive algorithms. The testbed will accelerate research and development as well as facilitate direct comparison of systems and algorithms to advance the knowledge and science of cognitive radio.

[1]  Allen B. MacKenzie,et al.  Joint Power and Channel Minimization in Topology Control: A Cognitive Network Approach , 2007, 2007 IEEE International Conference on Communications.

[2]  Timothy J. O'Shea,et al.  Applications of Machine Learning to Cognitive Radio Networks , 2007, IEEE Wireless Communications.

[3]  C.W. Bostian,et al.  Cognitive Radio Platform Development for Interoperability , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[4]  Charles W. Bostian,et al.  SIGNAL RECOGNITION FOR COGNTIVE RADIOS , 2006 .

[5]  A. K. Nandi,et al.  Procedure for automatic recognition of analogue and digital modulations , 1996 .

[6]  Charles W. Bostian,et al.  Cognitive Radio Formulation and Implementation , 2006, 2006 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[7]  Jeffrey H. Reed,et al.  A new approach to signal classification using spectral correlation and neural networks , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[8]  V.R. Petty,et al.  KUAR: A Flexible Software-Defined Radio Development Platform , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[9]  Michele Zorzi,et al.  Fuzzy Logic for Cross-layer Optimization in Cognitive Radio Networks , 2008, 2007 4th IEEE Consumer Communications and Networking Conference.

[10]  Arvin Agah,et al.  Cognitive engine implementation for wireless multicarrier transceivers , 2007, Wirel. Commun. Mob. Comput..

[11]  James O'Daniell Neel,et al.  Analysis and Design of Cognitive Radio Networks and Distributed Radio Resource Management Algorithms , 2006 .

[12]  Thao Nguyen,et al.  XG Dynamic Spectrum Access Field Test Results , 2007 .

[13]  Yiu-Tong Chan,et al.  Identification of the modulation type of a signal , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[14]  Troy Weingart,et al.  A Statistical Method for Reconfiguration of Cognitive Radios , 2007, IEEE Wireless Communications.