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- Title
Recurrence Quantification Analysis of Spectrum Predictability in Cognitive Radio Systems.
- Authors
LI Hongyan
- Abstract
The spectrum predictability in cognitive radio (CR) systems is studied. The properties of spectrum state sequence in different scales are analyzed by state space restructure method. Then the predictability in qualitative and quantitative aspects is analyzed and compared by Recurrence Plots (RP) and Recurrence Quantification Analysis (RQA). The RP and RQA results show that the predictability turns to be less as the scales decrease. And there exist chaos properties in small-scale spectrum state sequence. The conclusions provide reference for design of spectrum prediction models in future research.
- Subjects
COGNITIVE radio; SPECTRUM analysis; RECURSIVE sequences (Mathematics); CHAOS theory; PREDICATE calculus
- Publication
Telecommunication Engineering, 2015, Vol 55, Issue 2, p124
- ISSN
1001-893X
- Publication type
Article
- DOI
10.3969/j.issn.1001-893x.2015.02.002