Spectrum Assignment Scheme based on Genetic Algorithm for Cognitive Radio Receiver

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Veena Gawde
Veena Gawde
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B.K.Mishra
B.K.Mishra
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Rajesh Bansode
Rajesh Bansode
α University of Mumbai University of Mumbai

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Spectrum Assignment Scheme based on Genetic Algorithm for Cognitive Radio Receiver

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Abstract

Spectrum scarcity is one of the major challenges that the present world is facing. The efficient use of existing licensed spectrum is becoming most critical as growing demand of the radio spectrum. Different researches show that the use of licensed are not utilized inefficiently. It has been also shown that primary user does not use more than 60% of the licensed frequency band most of the time. There is need to find the techniques that can efficiently utilize the under-utilized licensed spectrum. One of the approaches is the use of “Cognitive Radio”. This allows the radio to learn from its environment, changing certain parameters. Based on this knowledge the radio can dynamically exploit the spectrum holes in the licensed band of the spectrum. This paper focuses on the performance of spectrum allocation technique, based on popular meta-heuristics Genetics Algorithm. Analyzing the performance of this technique using Matlab achieves mean fitness of 9.41. It provides fittest channels to the cognitive user on the basis of four priority parameters (genes) viz frequency, power, BER and modulation.

References

10 Cites in Article
  1. J Mitola,G Maguire (1999). Cognitive radio: making software radios more personal.
  2. S Haykin (2005). Cognitive radio: brain-empowered wireless communications.
  3. K Nolan,L Doyle,S Oh ; Cabric,D (2011). Cognitive radio: Ten years of experimentation and development.
  4. B Wang,K Liu (2011). Advances in cognitive radio Networks: A Survey.
  5. E Tragos,S Zeadally,A Fragkiadakis,V Siris (2013). Spetrum assignment in Cognitive radio Networks: A comprehensive Survey.
  6. L Lu,X Zhou,U Onunkwo,G Li (2012). Ten years research in spectrum sensing and sharing in cognitive radio.
  7. T Rondeau,Bin Le,C Rieser (2004). Cognitive radios with Genetic algoriths: Intelligent control of software defined radios.
  8. Zhijin Zhao,Zhen Peng,Shilian Zheng,Junna Shang (2009). Cognitive radio spectrum allocation using evolutionary algorithms.
  9. M Kaur,M Uddin,H Verma (2012). Optimization of QOS parameters in cognitive radio using adaptive genetic algorithm.
  10. S Singh,G Singh,V Pathak,K Roy (2011). Spectrum Allocation in Cognitive Radio Networks Using Genetic Algorithm.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Veena Gawde. 2016. \u201cSpectrum Assignment Scheme based on Genetic Algorithm for Cognitive Radio Receiver\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 15 (GJCST Volume 15 Issue E8): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
I.3.7 I.4.1
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v1.2

Issue date

January 25, 2016

Language
en
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Spectrum scarcity is one of the major challenges that the present world is facing. The efficient use of existing licensed spectrum is becoming most critical as growing demand of the radio spectrum. Different researches show that the use of licensed are not utilized inefficiently. It has been also shown that primary user does not use more than 60% of the licensed frequency band most of the time. There is need to find the techniques that can efficiently utilize the under-utilized licensed spectrum. One of the approaches is the use of “Cognitive Radio”. This allows the radio to learn from its environment, changing certain parameters. Based on this knowledge the radio can dynamically exploit the spectrum holes in the licensed band of the spectrum. This paper focuses on the performance of spectrum allocation technique, based on popular meta-heuristics Genetics Algorithm. Analyzing the performance of this technique using Matlab achieves mean fitness of 9.41. It provides fittest channels to the cognitive user on the basis of four priority parameters (genes) viz frequency, power, BER and modulation.

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Spectrum Assignment Scheme based on Genetic Algorithm for Cognitive Radio Receiver

Veena Gawde
Veena Gawde University of Mumbai
B.K.Mishra
B.K.Mishra
Rajesh Bansode
Rajesh Bansode

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