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Bandwidth and Radiation management of GSM System using Neural Networks

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
10.5120/18741-9990

Bhargav V. Gokalgandhi, Dereyk D'souza, Arun J. Varia, Sagar Samant . Bandwidth and Radiation management of GSM System using Neural Networks. International Journal of Computer Applications. 107, 4 ( December 2014), 24-26. DOI=10.5120/18741-9990

@article{ 10.5120/18741-9990,
author = { Bhargav V. Gokalgandhi, Dereyk D'souza, Arun J. Varia, Sagar Samant },
title = { Bandwidth and Radiation management of GSM System using Neural Networks },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 4 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 24-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number4/18741-9990/ },
doi = { 10.5120/18741-9990 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:40:12.382948+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 Neural Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 4
%P 24-26
%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 neural networks. It will help in easier management of the overall network parameters. 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. Theodore S. Rappaport, Wireless Communications: Principles and Practice, 2nd Edition, Pearson.
  2. McCulloch, Warren; Walter Pitts (1943). "A Logical Calculus of Ideas Immanent in Nervous Activity". Bulletin of Mathematical Biophysics 5 (4): 115–133. doi:10. 1007/BF02478259.
  3. "Introduction to Neural Networks for Intelligent Control" by Behnam Bavarian.
  4. "A Neural Network Routing to Multicast Routing in Real-Time Communication Networks" by Chotipat Pornavalai, Goutam Chakraborthy and Noroi Shiratori.
  5. Mathworks website for NN Toolbox webinar.
Index Terms

Computer Science
Information Sciences

Keywords

Neural Network Bandwidth Radiation Directivity linear neural networks.

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