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Spectrum Sharing in Cognitive Radio Work Using Goodput Mathematical Model for Perfect Sensing, Zero Interference and Imperfect Sensing, Non Zero Interference

Received: 28 August 2015     Accepted: 16 September 2015     Published: 26 September 2015
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Abstract

In recent years, there has been increase in the demand for spectrum allocation as wireless communication witness rapid growth on a daily basis. Literatures have established that this spectrum is scarce and more than 70% of the available spectrum is not utilized optimally. This paper proposes a model called Goodput model by which the under-utilized spectrum can be shared effectively between primary users and the secondary users without causing harmful interference between the users and also find solution to the problem of increasing demand for spectrum allocation on an already scarce spectrum. Goodput is a mathematical modeling in which the total amount of primary and secondary data that is successfully delivered per unit time can be used as performance index. Compared to other models, the Goodput model with zero interference, perfect sensing and imperfect Sensing, non-zero interference is used to determine the secondary users that will be able to use unoccupied portion of radio frequency channel of primary users with different values of data probability of arrival. Result shows that, the point of intersection between np and N(1-p) is the optimum point of interference, where n,N,and p are number of secondary users, number of primary users, and Probability of data arrival rate respectively. Below the optimum point of interference (left side of the point), all the secondary users will transmit opportunistically without interference. However, above the optimum point of interference (right side of the point), there will be interference between any secondary users that attempt to transmit.

Published in International Journal of Wireless Communications and Mobile Computing (Volume 3, Issue 6)
DOI 10.11648/j.wcmc.20150306.11
Page(s) 58-65
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Cognitive Radio, Spectrum Sharing, Primary User, Secondary User, Goodput

References
[1] http://en.wikipedia.org/wiki/ Cognitive_ Radio (Cognitive Radio Communication and Networks: Principles and Practice) retrieved on 24/09/2014 8:18 PM.
[2] http://en.wikipedia.org/wiki/Electromagnetic_Spectrum, retrieved on 8/1/2014 12:02 PM.
[3] A. M. Wigglinski, M. Nekovee, and Y. N T. Hou, (2009), “Cognitive Radio” IEEE VTS, chap.6.
[4] Zhu Jiand and K. J. Ray Liu, (2007), “Cognitive Radio for Dynamic Spectrum Access’’ IEEE Communications Magazine, pp. 84-94.
[5] L. Cao and H. Zheng, (2005) “Distributed Rule-Regulated Spectrum Sharing’’ IEEE Journal on Selected Areas of Communications, vol. 20, no.3, pp.150.
[6] R. Etkin, A. Parekh, and D. Tse, (2005) “Spectrum Sharing for Unlicensed bands’’ Proc. IEEE Dy SPAN, pp.159.
[7] Varaka Uday Kanth, Kolli Ravi Chandra, Rayala Ravi Kumar, (2013) “Spectrum Sharing In Cognitive Radio Networks’’, IJETT Journal, vol. 4, issue 4,pp.1172.
[8] Haykin, S. (2005) “Cognitive Radio: Brain Empowered Wireless Communications’’ IEEE Journal on Selected Areas of Communications, vol.23, no.2, pp. 201-220.
[9] Xavier Gelabert, Oriol Sallent, Jordi Pérez-Romero, Ramon Agustí, (2010) “Spectrum sharing in cognitive radio networks with imperfect sensing: A discrete-time Markov model” pp. 2522-2532.
[10] Ana Luz Mendiguchia Gonzalez, Massimiliano Picole and Silvia Colabrese, (2005) “Cognitive Radio: Meaning and Application’’, IEEE journal on Cognitive Radio, vol.20, no.4, pp.120.
[11] Sudhir Srinivasa and Syed Ali Jafar, (2008) “Cognitive Radio Networks: How much Spectrum Sharing is Optimal”pp. 1-4.
Cite This Article
  • APA Style

    Ojo Festus Kehinde, Fagbola Felix Adetunji. (2015). Spectrum Sharing in Cognitive Radio Work Using Goodput Mathematical Model for Perfect Sensing, Zero Interference and Imperfect Sensing, Non Zero Interference. International Journal of Wireless Communications and Mobile Computing, 3(6), 58-65. https://doi.org/10.11648/j.wcmc.20150306.11

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    ACS Style

    Ojo Festus Kehinde; Fagbola Felix Adetunji. Spectrum Sharing in Cognitive Radio Work Using Goodput Mathematical Model for Perfect Sensing, Zero Interference and Imperfect Sensing, Non Zero Interference. Int. J. Wirel. Commun. Mobile Comput. 2015, 3(6), 58-65. doi: 10.11648/j.wcmc.20150306.11

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    AMA Style

    Ojo Festus Kehinde, Fagbola Felix Adetunji. Spectrum Sharing in Cognitive Radio Work Using Goodput Mathematical Model for Perfect Sensing, Zero Interference and Imperfect Sensing, Non Zero Interference. Int J Wirel Commun Mobile Comput. 2015;3(6):58-65. doi: 10.11648/j.wcmc.20150306.11

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  • @article{10.11648/j.wcmc.20150306.11,
      author = {Ojo Festus Kehinde and Fagbola Felix Adetunji},
      title = {Spectrum Sharing in Cognitive Radio Work Using Goodput Mathematical Model for Perfect Sensing, Zero Interference and Imperfect Sensing, Non Zero Interference},
      journal = {International Journal of Wireless Communications and Mobile Computing},
      volume = {3},
      number = {6},
      pages = {58-65},
      doi = {10.11648/j.wcmc.20150306.11},
      url = {https://doi.org/10.11648/j.wcmc.20150306.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.20150306.11},
      abstract = {In recent years, there has been increase in the demand for spectrum allocation as wireless communication witness rapid growth on a daily basis. Literatures have established that this spectrum is scarce and more than 70% of the available spectrum is not utilized optimally. This paper proposes a model called Goodput model by which the under-utilized spectrum can be shared effectively between primary users and the secondary users without causing harmful interference between the users and also find solution to the problem of increasing demand for spectrum allocation on an already scarce spectrum. Goodput is a mathematical modeling in which the total amount of primary and secondary data that is successfully delivered per unit time can be used as performance index. Compared to other models, the Goodput model with zero interference, perfect sensing and imperfect Sensing, non-zero interference is used to determine the secondary users that will be able to use unoccupied portion of radio frequency channel of primary users with different values of data probability of arrival. Result shows that, the point of intersection between np and N(1-p)  is the optimum point of interference, where n,N,and p are number of secondary users, number of primary users, and Probability of data arrival rate respectively. Below the optimum point of interference (left side of the point), all the secondary users will transmit opportunistically without interference. However, above the optimum point of interference (right side of the point), there will be interference between any secondary users that attempt to transmit.},
     year = {2015}
    }
    

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  • TY  - JOUR
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    AU  - Ojo Festus Kehinde
    AU  - Fagbola Felix Adetunji
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    AB  - In recent years, there has been increase in the demand for spectrum allocation as wireless communication witness rapid growth on a daily basis. Literatures have established that this spectrum is scarce and more than 70% of the available spectrum is not utilized optimally. This paper proposes a model called Goodput model by which the under-utilized spectrum can be shared effectively between primary users and the secondary users without causing harmful interference between the users and also find solution to the problem of increasing demand for spectrum allocation on an already scarce spectrum. Goodput is a mathematical modeling in which the total amount of primary and secondary data that is successfully delivered per unit time can be used as performance index. Compared to other models, the Goodput model with zero interference, perfect sensing and imperfect Sensing, non-zero interference is used to determine the secondary users that will be able to use unoccupied portion of radio frequency channel of primary users with different values of data probability of arrival. Result shows that, the point of intersection between np and N(1-p)  is the optimum point of interference, where n,N,and p are number of secondary users, number of primary users, and Probability of data arrival rate respectively. Below the optimum point of interference (left side of the point), all the secondary users will transmit opportunistically without interference. However, above the optimum point of interference (right side of the point), there will be interference between any secondary users that attempt to transmit.
    VL  - 3
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    ER  - 

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Author Information
  • Department of Electronic and Electrical Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria

  • Department of Works & Physical Planning, University of Lagos, Yaba, Lagos, Nigeria

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