DocumentCode
3199216
Title
Closed-Form Analysis of Spectrum Characteristics for Cognitive Radio Performance Analysis
Author
Marshall, Preston F.
Author_Institution
Defense Adv. Res. Projects Agency, Arlington, VA
fYear
2008
fDate
14-17 Oct. 2008
Firstpage
1
Lastpage
12
Abstract
This paper provides an analysis and characterization of the spectrum environment in which a cognitive radio will operate. The different spectrum environments characterize the performance constraining regions that impact wireless system operation, and must be addressed or mitigated by cognitive radios techniques and technology. Closed-form probability distributions are developed for fixed bandwidth signaling channels, and for proportional bandwidths, such as preselectors and low noise amplifiers. The use of closed-form expressions of spectrum environments will enable cognitive radio and dynamic spectrum access researchers to (1) simulate a wider range of spectrum environments than can be sampled and analyzed; (2) perform analysis of radio performance, without researchers having large databases of environments; and (3) provide provable assertions about cognitive radio performance in a range of potential environments.
Keywords
cognitive radio; low noise amplifiers; probability; radio spectrum management; wireless channels; closed-form probability distributions; cognitive radio performance analysis; dynamic spectrum access; fixed bandwidth signaling channels; low noise amplifiers; proportional bandwidths; spectrum characteristics; wireless system operation; Analytical models; Bandwidth; Closed-form solution; Cognitive radio; Databases; Distributed amplifiers; Low-noise amplifiers; Performance analysis; Probability distribution; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
New Frontiers in Dynamic Spectrum Access Networks, 2008. DySPAN 2008. 3rd IEEE Symposium on
Conference_Location
Chicago, IL
Print_ISBN
978-1-4244-2016-2
Electronic_ISBN
978-1-4244-2017-9
Type
conf
DOI
10.1109/DYSPAN.2008.19
Filename
4658230
Link To Document