DocumentCode
3512733
Title
Cognitive Radio: From Spectrum Sharing to Adaptive Learning and Reconfiguration
Author
Ge, Feng ; Chen, Qinqin ; Wang, Ying G. ; Bostian, Charles W. ; Rondeau, Thomas W. ; Le, Bin
Author_Institution
Center for Wireless Telecommun., Virginia Polytech. Inst. & State Univ., Blacksburg, VA
fYear
2008
fDate
1-8 March 2008
Firstpage
1
Lastpage
10
Abstract
This paper introduces important cognitive radio developments like spectrum sharing, learning and adaptation algorithms, and the software and hardware architecture to support these functions. A cognitive radio is defined here as a transceiver that is aware of its environment and can combine this awareness with knowledge of its user\´s priorities, needs, operational procedures, and governing regulatory rules. It adapts to its environment and configures itself in an appropriate fashion. The radio learns through experience and is capable of generating solutions for communications problems unforeseen by its designers. Our spectrum sharing cognitive radio is built upon GNU radio and uses the universal software radio peripheral (USRP) device as our radio front end platform. We use cyclostationary feature analysis to detect low SNR modulated signals because of its ability to distinguish between modulated signals, interference, and noise in low signal to noise ratios. A parallel algorithm running on a cell broadband engine (Cell BE) is used to attack the associated high computational complexity. A new spectrum sensing scheme, incorporating spectrum monitoring, data transmission, and dynamic channel switching, is designed to fully utilize the idle time of the primary user. Our work is based on the concept of a cognitive engine: an intelligent software package that "reads the meters" and "turns the knobs" of any attached software defined radio (SDR) platform. Using an eclectic combination of artificial intelligence techniques including case-based decision theory, multi-objective genetic algorithms, and neural networks, it implements a system of nested cognition loops. Applied to public safety communications, this technology is the basis of a working prototype Public Safety Cognitive Radio that can scan the public safety spectrum (multiple bands and multiple waveforms, all incompatible) and configure itself to interoperate with any public safety waveform that it finds within 0.- 1 seconds of determining that a signal is present.
Keywords
cellular radio; cognitive radio; computational complexity; telecommunication switching; wireless channels; adaptive learning-reconfiguration; case-based decision theory; cell broadband engine; cognitive radio; computational complexity; cyclostationary feature analysis; data transmission; dynamic channel switching; learning-adaptation algorithms; multiobjective genetic algorithms; neural networks; public safety spectrum; signal to noise ratios; spectrum sensing scheme; spectrum sharing; universal software radio peripheral device; Cognitive radio; Computer architecture; Computer vision; Engines; Hardware; Safety; Signal to noise ratio; Software algorithms; Software radio; Transceivers;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace Conference, 2008 IEEE
Conference_Location
Big Sky, MT
ISSN
1095-323X
Print_ISBN
978-1-4244-1487-1
Electronic_ISBN
1095-323X
Type
conf
DOI
10.1109/AERO.2008.4526372
Filename
4526372
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