Queuing analysis of dynamic spectrum access subject to interruptions from primary users

Husheng Li; Zhu Han

5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Queuing analysis of dynamic spectrum access subject to interruptions from primary users

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@INPROCEEDINGS{10.4108/ICST.CROWNCOM2010.9110,
    author={Husheng Li and Zhu Han},
    title={Queuing analysis of dynamic spectrum access subject to interruptions from primary users},
    proceedings={5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
    publisher={IEEE},
    proceedings_a={CROWNCOM},
    year={2010},
    month={9},
    keywords={Cognitive radio Equations Fading Interference Mathematical model Queueing analysis Servers},
    doi={10.4108/ICST.CROWNCOM2010.9110}
}

Husheng Li
Zhu Han
Year: 2010
Queuing analysis of dynamic spectrum access subject to interruptions from primary users
CROWNCOM
IEEE
DOI: 10.4108/ICST.CROWNCOM2010.9110

Husheng Li¹^,*, Zhu Han²

1: Department of Electrical Engineering and Computer Science, the University of Tennessee, Knoxville, TN, 37996
2: Department of Electrical and Computer Engineering, University of Houston, Houston, TX, 77004.

*Contact email: husheng@eecs.utk.edu

Abstract

Interruption from primary users is a key factor impacting the performance of secondary users in cognitive radio networks. Based on a simplified model of primary user interruptions (Markov chain), queuing analysis is carried out for two-server-single-queue and single-server-two-queue cases. A semi-analytic result is obtained for the generating function of queue length in the two-server-single-queue case. The average queue length is obtained from solving a group of linear equations for the single-server-two-queue case. The maximal packet arrival rates versus different service rates and interruption parameters are obtained via numerical simulations.

Keywords: Cognitive radio Equations Fading Interference Mathematical model Queueing analysis Servers

Published: 2010-09-16
Publisher: IEEE

: http://dx.doi.org/10.4108/ICST.CROWNCOM2010.9110