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Bandwidth and Radiation Management of GSM System using Fuzzy Logic

by Bhargav V. Gokalgandhi, Dereyk D'souza, Arun J. Varia, Sagar Samant
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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, Sagar Samant . Bandwidth and Radiation Management of GSM System using Fuzzy Logic. International Journal of Computer Applications. 107, 4 ( December 2014), 20-23. DOI=10.5120/18740-9989

@article{ 10.5120/18740-9989,
author = { Bhargav V. Gokalgandhi, Dereyk D'souza, Arun J. Varia, Sagar Samant },
title = { Bandwidth and Radiation Management of GSM System using Fuzzy Logic },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 4 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number4/18740-9989/ },
doi = { 10.5120/18740-9989 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:40:11.699728+05:30
%A Bhargav V. Gokalgandhi
%A Dereyk D'souza
%A Arun J. Varia
%A Sagar Samant
%T Bandwidth and Radiation Management of GSM System using Fuzzy Logic
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 4
%P 20-23
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
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
  1. S. N. Shivanandan and S. N. Deepa, Principles of Soft Computing. 2nd Edition, Wiley.
  2. Theodore S. Rappaport, Wireless Communications: Principles and Practice, 2nd Edition, Pearson.
  3. Andreas Pitsillides, Ahmet Sekercioglu, "Fuzzy logic based Congestion control".
  4. 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".
  5. L. A. Zadeh. Fuzzy Logic. IEEE Computer. pp. 83-93, April 1988.
  6. Mathworks website for FIS webinar.
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Bandwidth Radiation Directivity Inference fuzzification defuzzification.

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