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Analization of different Channels for Designing of Wireless Networks

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 162 - Number 3
Year of Publication: 2017
Authors:
Akanksha Mishra, Mani Shekhar
10.5120/ijca2017913341

Akanksha Mishra and Mani Shekhar. Analization of different Channels for Designing of Wireless Networks. International Journal of Computer Applications 162(3):35-41, March 2017. BibTeX

@article{10.5120/ijca2017913341,
	author = {Akanksha Mishra and Mani Shekhar},
	title = {Analization of different Channels for Designing of Wireless Networks},
	journal = {International Journal of Computer Applications},
	issue_date = {March 2017},
	volume = {162},
	number = {3},
	month = {Mar},
	year = {2017},
	issn = {0975-8887},
	pages = {35-41},
	numpages = {7},
	url = {http://www.ijcaonline.org/archives/volume162/number3/27225-2017913341},
	doi = {10.5120/ijca2017913341},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

In today era Global System for Mobile Communication (GSM) is so much important for every cell phone users because mostly every network worked on the GSM system. The GSM platform is an extremely successful wireless technology and an unprecedented story of global achievement. The GSM platform is growing and evolving and offers an expanded and feature- rich voice and data enabling services. Wireless communication is the transfer of information over a distance without the use of enhanced electrical conductors or wires. The distances involved may be short (a few meters as in television remote control) or long (thousands or millions of kilometers for radio communications). When the context is clear, the term is often shortened to "wireless". It encompasses various types of fixed, mobile, and portable two-way radios, cellular telephones, Personal Digital Assistants (PDAs), and wireless networking.

In this research simulated the performance analysis in the MATLAB software for reducing Signal- to- Noise Ratio (SNR) for better performance. MATLAB software from Mathworks was used for the simulation. Rather than for simulation the program choose the random value of signal- to- noise ratio (SNR) in dB (Decible). In the GSM system transmitted the digital signal from source to user through the channel. The final output is represents the graphical form using BCH coding. In the GSM system for encoding the digital signal using a convolutional coding and for modulation using a QAM modulation.

References

  1. Sanchit Jain, Lakshmi Kurup, Aruna Gawade Vivek Sanghvi Jain, "Overview on Generations of Network: 1G,2G,3G,4G,5G," IJCTA, vol. 5, pp. 1789- 1794, 2014.
  2. Gagan Preet Kaur, Joni Birla, Jitender Ahlawat, “Generations of Wireless Technology” IJCSMS, vol. 11, 2011.
  3. Mr. Suryakanth.B., Mr. Shivarudraiah.B, Mr. Sree Harsha H.N, “A GSM Simulation Platform using MATLAB” IJIRSE, vol. 3, 2013.
  4. Yathiraj H U, Mahasiddayya R Hiremath, “Implementation of BCH Code (n, k) Encoder and Decoder for Multiple Error Correction Control” IJCSMA, vol. 2, pp. 45- 54, 2014.
  5. Tanvir Singh, Amit Kumar, Dr. Yunfei Liu,“Channels and Identities in GSM” IJECT, vol. 2, 2011.
  6. Arne Norre Ekstrøm, Jan H. Mikkelsen,“A MATLAB Implementation of a GSM Simulation Platform” ISBN, pp. 97- 109, 1997.
  7. John Scourias, “Overview of GSM: The Global System for Mobile Communications” IJET, vol. 1, pp. 31- 38, 1996.
  8. Theo Ojerteg,“Design and implementation of a test tool for the GSM traffic channel” ISBN, vol. 3, 2002.
  9. Washington D. C., “Intercepting GSM Traffic” Black Hat Briefing, vol. 4, pp. 1004- 1015, 2008.
  10. Nikhil Deshpande, “MATLAB Implementation of GSM Traffic Channel” IJCNIS, pp. 24- 32, 2003.
  11. Wilfrido Moreno, James Leffew, Wei Qian, “Introduction to GSM and GSM Mobile RF Transceiver Derivation” vol. 3, pp. 56- 64, 2003.
  12. Siegmund M. Redl, Matthias K. Weber, Malcolm W. Oliphant, “An Introduction to GSM” Artech House, 2011.
  13. Mudit Ratana Bhalla, Anand Vardhan Bhalla, “Generations of Mobile Wireless Technology: A Survey” IJCA, vol. 5, 2010.
  14. Paul Kimuli, “Introduction to GSM and GSM mobile RF transceiver derivation” RF Embedded Systems, pp. 16- 21, 2003.
  15. Ramiro Jordan, Chaouki T. Abdallah, “Wireless Communications and Networking: An Overview” IEEE, vol. 44, pp. 185- 193, 2002.
  16. [Online]. http://docplayer.net/698137-Gsm-channels-physical-logical-channels- traffic-and-control mutltiframing-frame-structure.html
  17. [Online].http://searchnetworking.techtarget.com/definition/signal-to-noise-ratio
  18. [Online].http://www.wirelesscommunication.nl/reference/chaptr05/receiver/viterbi/epfl_1/coding.htm
  19. [Online].https://www.google.co.in/?gfe_rd=cr&ei=NupGWM3bBsqL8QfX9K6gCw&gws_rd=ssl#q=viterbi+algorithm
  20. [Online].http://www.radio-electronics.com/info/rf-technology-design/quadrature-amplitude-modulation-qam/8qam-16qam-32qam-64qam-128qam-256qam.php
  21. [Online]. https://en.wikipedia.org/wiki/Coding_theory
  22. [Online].http://orion.math.iastate.edu/linglong/Math690F04/BCHSlides.pdf
  23. [Online].http://eijmr.org/uploads/journals/05e5045548661ec9d7342.pdf

Keywords

BCH Coding, Convolutional, Coding, Viterbi Algorithm, GSM System, SNR ratio