Approximate Analysis of Cognitive Radio Systems Using Time-Scale Separation and its Accuracy

We model a cognitive radio system as a quasi-birth-death (QBD) process and determine its performance parameters. We also model the system at the quasi-stationary limiting regime. We show that this regime defines the asymptotic system behavior. The performance parameters of interest at this regime ar...

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Bibliographic Details
Published in:IEEE communications letters 2013-01, Vol.17 (1), p.35-38
Main Authors: Martinez-Bauset, J., Pla, V., Vidal, J. R., Guijarro, L.
Format: Article
Language:English
Subjects:
Acceleration
Accuracy
Analytical models
Applied sciences
Approximation
Approximation methods
Asymptotic properties
Cognitive radio
Cognitive radio networks
Computational efficiency
Constraining
Exact sciences and technology
Limiting
Mathematical analysis
Mathematical models
quasi-stationary approximation
Radiocommunication specific techniques
Radiocommunications
Recursion
Telecommunications
Telecommunications and information theory
traffic analysis
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Description
Summary:We model a cognitive radio system as a quasi-birth-death (QBD) process and determine its performance parameters. We also model the system at the quasi-stationary limiting regime. We show that this regime defines the asymptotic system behavior. The performance parameters of interest at this regime are independent of the service time distributions and can be determined by simple recursions. We propose and evaluate a new methodology to determine when the quasi-stationary approximation can be considered a good approximation of the actual system behavior. It requires low computational cost and does not require to solve the exact system.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2012.111612.121490