Bandwidth and Radiation management of GSM System using Neural Networks
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10.5120/18741-9990 |
Bhargav V Gokalgandhi, Dereyk D'souza, Arun J Varia and Sagar Samant. Article: Bandwidth and Radiation management of GSM System using Neural Networks. International Journal of Computer Applications 107(4):24-26, 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 Neural Networks},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {107},
number = {4},
pages = {24-26},
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 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
- Theodore S. Rappaport, Wireless Communications: Principles and Practice, 2nd Edition, Pearson.
- 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.
- "Introduction to Neural Networks for Intelligent Control" by Behnam Bavarian.
- "A Neural Network Routing to Multicast Routing in Real-Time Communication Networks" by Chotipat Pornavalai, Goutam Chakraborthy and Noroi Shiratori.
- Mathworks website for NN Toolbox webinar.