Title :
Improved scaling of spectrum decision mechanism in cognitive radio networks
Author :
Peng Yi ; Hou Yongji ; Long Hua ; Li Haitao
Author_Institution :
Fac. Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
Abstract :
In cognitive radio networks,We usually use nine scaling law based on multi-attribute utility theory as a common spectrum decision mechanism.the traditional scale method only consider the spectrum own objective properties and then makes judgments is not comprehensive enough. This paper through researched the mechanism of scaling judgment in psychology, a new and improved scale method were proposed, and the new scale method applied to spectrum decisions of cognitive radio networks, So that the measure of subjective judgment factors are more scientific and makes more explicit determination in spectrum decisions. Finally,we through simulation to verify the superiority of the improved scaling.
Keywords :
cognitive radio; radio spectrum management; utility theory; cognitive radio network; multiattribute utility theory; psychology; spectrum decision mechanism scaling improvement; Cognitive radio networks; Scale method; Spectrum judgment;
Conference_Titel :
Cyberspace Technology (CCT 2014), International Conference on
Print_ISBN :
978-1-84919-928-5
DOI :
10.1049/cp.2014.1329