Cognitive interference modeling with applications in power and admission control

Nurul Huda Mahmood; Ferkan Yilmaz; Mohamed-Slim Alouini; Geir Egil Øien

doi:10.1109/DYSPAN.2012.6478167

Cognitive interference modeling with applications in power and admission control

Nurul Huda Mahmood, Ferkan Yilmaz, Mohamed-Slim Alouini, Geir Egil Øien

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

One of the key design challenges in a cognitive radio network is controlling the interference generated at coexisting primary receivers. In order to design efficient cognitive radio systems and to minimize their unwanted consequences, it is therefore necessary to effectively control the secondary interference at the primary receivers. In this paper, a generalized framework for the interference analysis of a cognitive radio network where the different secondary transmitters may transmit with different powers and transmission probabilities, is presented and various applications of this interference model are demonstrated. The findings of the analytical performance analyses are confirmed through selected computer-based Monte-Carlo simulations. © 2012 IEEE.

Original language	English (US)
Title of host publication	2012 IEEE International Symposium on Dynamic Spectrum Access Networks
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	434-439
Number of pages	6
ISBN (Print)	9781467344487
DOIs	https://doi.org/10.1109/DYSPAN.2012.6478167
State	Published - Oct 2012

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10.1109/DYSPAN.2012.6478167

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title = "Cognitive interference modeling with applications in power and admission control",

abstract = "One of the key design challenges in a cognitive radio network is controlling the interference generated at coexisting primary receivers. In order to design efficient cognitive radio systems and to minimize their unwanted consequences, it is therefore necessary to effectively control the secondary interference at the primary receivers. In this paper, a generalized framework for the interference analysis of a cognitive radio network where the different secondary transmitters may transmit with different powers and transmission probabilities, is presented and various applications of this interference model are demonstrated. The findings of the analytical performance analyses are confirmed through selected computer-based Monte-Carlo simulations. {\textcopyright} 2012 IEEE.",

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Cognitive interference modeling with applications in power and admission control. / Mahmood, Nurul Huda; Yilmaz, Ferkan; Alouini, Mohamed-Slim et al.
2012 IEEE International Symposium on Dynamic Spectrum Access Networks. Institute of Electrical and Electronics Engineers (IEEE), 2012. p. 434-439.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - One of the key design challenges in a cognitive radio network is controlling the interference generated at coexisting primary receivers. In order to design efficient cognitive radio systems and to minimize their unwanted consequences, it is therefore necessary to effectively control the secondary interference at the primary receivers. In this paper, a generalized framework for the interference analysis of a cognitive radio network where the different secondary transmitters may transmit with different powers and transmission probabilities, is presented and various applications of this interference model are demonstrated. The findings of the analytical performance analyses are confirmed through selected computer-based Monte-Carlo simulations. © 2012 IEEE.

AB - One of the key design challenges in a cognitive radio network is controlling the interference generated at coexisting primary receivers. In order to design efficient cognitive radio systems and to minimize their unwanted consequences, it is therefore necessary to effectively control the secondary interference at the primary receivers. In this paper, a generalized framework for the interference analysis of a cognitive radio network where the different secondary transmitters may transmit with different powers and transmission probabilities, is presented and various applications of this interference model are demonstrated. The findings of the analytical performance analyses are confirmed through selected computer-based Monte-Carlo simulations. © 2012 IEEE.

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BT - 2012 IEEE International Symposium on Dynamic Spectrum Access Networks

PB - Institute of Electrical and Electronics Engineers (IEEE)

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Cognitive interference modeling with applications in power and admission control

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