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Call for Paper - May 2015 Edition
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Bandwidth and Radiation Management of GSM System using Fuzzy Logic

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 107 - Number 4
Year of Publication: 2014
Authors:
Bhargav V. Gokalgandhi
Dereyk D'souza
Arun J. Varia
Sagar Samant
10.5120/18740-9989

Bhargav V Gokalgandhi, Dereyk D'souza, Arun J Varia and Sagar Samant. Article: Bandwidth and Radiation Management of GSM System using Fuzzy Logic. International Journal of Computer Applications 107(4):20-23, December 2014. Full text available. BibTeX

@article{key:article,
	author = {Bhargav V. Gokalgandhi and Dereyk D'souza and Arun J. Varia and Sagar Samant},
	title = {Article: Bandwidth and Radiation Management of GSM System using Fuzzy Logic},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {107},
	number = {4},
	pages = {20-23},
	month = {December},
	note = {Full text available}
}

Abstract

Bandwidth and the radiation pattern of an antenna play a crucial role in long as well as short distance communication. Nowadays, the increasing population and the unequal use of communication channels are making it difficult to manage the bandwidth of a communication system. Also, the radiation of the antenna is inefficiently used in many areas. One of the solutions to these problems is using fuzzy logic. It will help in easier management of the database. The allocation of bandwidth and the control of radiation pattern will become extremely simple. All the factors will be automatically updated according to the existing requirements thus, making the system a self-learning system.

References

  • S. N. Shivanandan and S. N. Deepa, Principles of Soft Computing. 2nd Edition, Wiley.
  • Theodore S. Rappaport, Wireless Communications: Principles and Practice, 2nd Edition, Pearson.
  • Andreas Pitsillides, Ahmet Sekercioglu, "Fuzzy logic based Congestion control".
  • ALI HAKAN I?IK, ERKAN AFACAN, "Control of Cell Planning with Fuzzy Logic in GSM System","Proceedings of the 8th WSEAS International Conference on Telecommunications and Informatics".
  • L. A. Zadeh. Fuzzy Logic. IEEE Computer. pp. 83-93, April 1988.
  • Mathworks website for FIS webinar.