Title :
CSERE (Cognitive System Enabling Radio Evolution): A modular and user-friendly cognitive engine
Author :
Young, Alan R. ; Kaminski, Nicholas J. ; Fayez, A. ; Bostian, C.W.
Author_Institution :
Bradley Dept. of Electr. & Comput. Eng., Virginia Tech, Blacksburg, VA, USA
Abstract :
CSERE (Cognitive System Enabling Radio Evolution) is a high performance modular cognitive engine written in Python which can control a wide variety of radio platforms to implement fully functional cognitive radios. Its modular architecture allows CSERE to hot swap software components like objective analyzers (objective function calculators), rankers, and environmental sensors, based on the evolving needs of the cognitive radio´s mission and changes in the RF environment. Using an embedded version of CSERE running on a US $150 BeagleBoard single-board computer and controlling a US $12 Hope RF RFM22B RFIC, the authors have built cognitive radios small enough to install on Lego robots and inexpensive enough for student laboratory work. The CSERE software is available for research purposes at no cost.
Keywords :
cognitive radio; electric sensing devices; embedded systems; human computer interaction; microcomputers; mobile robots; radiofrequency integrated circuits; BeagleBoard single-board computer; CSERE embedded version; CSERE software; Hope RF RFM22B RFIC; Lego robots; Python; RF environment; cognitive radio mission; cognitive system enabling radio evolution; fully functional cognitive radios; high performance modular cognitive engine; hot swap software components; radio platforms; student laboratory work; user-friendly cognitive engine; Cognitive radio; Engines; Genetic algorithms; Knowledge based systems; Sensors; Sociology; Statistics; BeagleBoard; adaptive radio; cognitive engine; cognitive radio;
Conference_Titel :
Dynamic Spectrum Access Networks (DYSPAN), 2012 IEEE International Symposium on
Conference_Location :
Bellevue, WA
Print_ISBN :
978-1-4673-4447-0
Electronic_ISBN :
978-1-4673-4446-3
DOI :
10.1109/DYSPAN.2012.6478116