A framework to facilitate modeling of a cognitive radio network using layered architecture

Syed Rizvi, Nathan Showani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Cognitive Radio (CR) is a promising solution to solve the problem of limited spectrum and poor bandwidth utilization in wireless networks by opportunistieally exploiting the available wireless spectrum. Despite the numerous advantages of CR technology, it imposes unique challenges for modeling and simulation due to dynamic spectrum sensing and the high fluctuations in the spectrum utilization as well as diverse set of components that form a CR network. Therefore, to develop a model for CR network and execute the distributed simulation, it is critical to have a complete understanding of (1) an analytical model that incorporates all components of a CR network and (2) a framework that layout all necessary tools and services needed for a successful modeling and simulation. In this paper, we have two research contributions. First, we present an analytical model of CR by identifying components necessary for a design of a typical CR and classify them in the context of modeling and simulation. A design of a CR network includes the software defined radio (SDR), spectrum sensing, and communication channels. The layers of the analytical model encapsulate the SDR, spectrum sensing techniques, and the communication channels. Second, we construct a theoretical representation of a CR by specifying its unique characteristics needed for modeling and simulation. We show the mapping of these characteristics into a layered architecture framework which ease the model formulization and simplify the simulation of a complex CR network.

Original languageEnglish (US)
Title of host publication17th IEEE International Multi Topic Conference
Subtitle of host publicationCollaborative and Sustainable Development of Technologies, IEEE INMIC 2014 - Proceedings
EditorsHaroon Rasheed, Farah Lakhani, Mukesh Kumar Maheshwari
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages119-124
Number of pages6
ISBN (Electronic)9781479957545
DOIs
StatePublished - Apr 28 2015
Event17th IEEE International Multi Topic Conference, IEEE INMIC 2014 - Karachi, Pakistan
Duration: Dec 8 2014Dec 10 2014

Publication series

Name17th IEEE International Multi Topic Conference: Collaborative and Sustainable Development of Technologies, IEEE INMIC 2014 - Proceedings

Other

Other17th IEEE International Multi Topic Conference, IEEE INMIC 2014
CountryPakistan
CityKarachi
Period12/8/1412/10/14

Fingerprint

Cognitive radio
Analytical models
Wireless networks
Bandwidth

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Rizvi, S., & Showani, N. (2015). A framework to facilitate modeling of a cognitive radio network using layered architecture. In H. Rasheed, F. Lakhani, & M. K. Maheshwari (Eds.), 17th IEEE International Multi Topic Conference: Collaborative and Sustainable Development of Technologies, IEEE INMIC 2014 - Proceedings (pp. 119-124). [7097323] (17th IEEE International Multi Topic Conference: Collaborative and Sustainable Development of Technologies, IEEE INMIC 2014 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INMIC.2014.7097323
Rizvi, Syed ; Showani, Nathan. / A framework to facilitate modeling of a cognitive radio network using layered architecture. 17th IEEE International Multi Topic Conference: Collaborative and Sustainable Development of Technologies, IEEE INMIC 2014 - Proceedings. editor / Haroon Rasheed ; Farah Lakhani ; Mukesh Kumar Maheshwari. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 119-124 (17th IEEE International Multi Topic Conference: Collaborative and Sustainable Development of Technologies, IEEE INMIC 2014 - Proceedings).
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abstract = "Cognitive Radio (CR) is a promising solution to solve the problem of limited spectrum and poor bandwidth utilization in wireless networks by opportunistieally exploiting the available wireless spectrum. Despite the numerous advantages of CR technology, it imposes unique challenges for modeling and simulation due to dynamic spectrum sensing and the high fluctuations in the spectrum utilization as well as diverse set of components that form a CR network. Therefore, to develop a model for CR network and execute the distributed simulation, it is critical to have a complete understanding of (1) an analytical model that incorporates all components of a CR network and (2) a framework that layout all necessary tools and services needed for a successful modeling and simulation. In this paper, we have two research contributions. First, we present an analytical model of CR by identifying components necessary for a design of a typical CR and classify them in the context of modeling and simulation. A design of a CR network includes the software defined radio (SDR), spectrum sensing, and communication channels. The layers of the analytical model encapsulate the SDR, spectrum sensing techniques, and the communication channels. Second, we construct a theoretical representation of a CR by specifying its unique characteristics needed for modeling and simulation. We show the mapping of these characteristics into a layered architecture framework which ease the model formulization and simplify the simulation of a complex CR network.",
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Rizvi, S & Showani, N 2015, A framework to facilitate modeling of a cognitive radio network using layered architecture. in H Rasheed, F Lakhani & MK Maheshwari (eds), 17th IEEE International Multi Topic Conference: Collaborative and Sustainable Development of Technologies, IEEE INMIC 2014 - Proceedings., 7097323, 17th IEEE International Multi Topic Conference: Collaborative and Sustainable Development of Technologies, IEEE INMIC 2014 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 119-124, 17th IEEE International Multi Topic Conference, IEEE INMIC 2014, Karachi, Pakistan, 12/8/14. https://doi.org/10.1109/INMIC.2014.7097323

A framework to facilitate modeling of a cognitive radio network using layered architecture. / Rizvi, Syed; Showani, Nathan.

17th IEEE International Multi Topic Conference: Collaborative and Sustainable Development of Technologies, IEEE INMIC 2014 - Proceedings. ed. / Haroon Rasheed; Farah Lakhani; Mukesh Kumar Maheshwari. Institute of Electrical and Electronics Engineers Inc., 2015. p. 119-124 7097323 (17th IEEE International Multi Topic Conference: Collaborative and Sustainable Development of Technologies, IEEE INMIC 2014 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Cognitive Radio (CR) is a promising solution to solve the problem of limited spectrum and poor bandwidth utilization in wireless networks by opportunistieally exploiting the available wireless spectrum. Despite the numerous advantages of CR technology, it imposes unique challenges for modeling and simulation due to dynamic spectrum sensing and the high fluctuations in the spectrum utilization as well as diverse set of components that form a CR network. Therefore, to develop a model for CR network and execute the distributed simulation, it is critical to have a complete understanding of (1) an analytical model that incorporates all components of a CR network and (2) a framework that layout all necessary tools and services needed for a successful modeling and simulation. In this paper, we have two research contributions. First, we present an analytical model of CR by identifying components necessary for a design of a typical CR and classify them in the context of modeling and simulation. A design of a CR network includes the software defined radio (SDR), spectrum sensing, and communication channels. The layers of the analytical model encapsulate the SDR, spectrum sensing techniques, and the communication channels. Second, we construct a theoretical representation of a CR by specifying its unique characteristics needed for modeling and simulation. We show the mapping of these characteristics into a layered architecture framework which ease the model formulization and simplify the simulation of a complex CR network.

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PB - Institute of Electrical and Electronics Engineers Inc.

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Rizvi S, Showani N. A framework to facilitate modeling of a cognitive radio network using layered architecture. In Rasheed H, Lakhani F, Maheshwari MK, editors, 17th IEEE International Multi Topic Conference: Collaborative and Sustainable Development of Technologies, IEEE INMIC 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 119-124. 7097323. (17th IEEE International Multi Topic Conference: Collaborative and Sustainable Development of Technologies, IEEE INMIC 2014 - Proceedings). https://doi.org/10.1109/INMIC.2014.7097323