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ANALYSIS OF MOBILE COMMUNICATION SIGNALS WITH FREQUENCY ANALYSIS METHOD

Year 2012, Volume: 25 Issue: 2, 447 - 454, 16.04.2012

Abstract

In this study, mobile communication signals accessed by users were measured and the signal strength performances of GSM networks were evaluated. Communication signals of three GSM networks serving in Turkey were received from mobile phone through a developed program, a data base was created and the assessments have been made on this data on base of a frequency analysis. Assessments of the 100 data obtained separately for each GSM network from 100 stable points through the nearly 20 km a way between Gazi University Central Campus and Gölbaşı Campus were showed that; Network A has been the best signal strength performing with 83% well-signal ratio in 3 networks and a significant class difference between Network A and the other networks have emerged. Network A was followed by Network B and C with the radios of 39% and 28%. In terms of the stability of signal, Network C has been the most stable network. It is proven that although the companies providing mobile communication services announce their widespread coverage area, the signal strength levels accessed by users show significant differences among the networks.

References

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Year 2012, Volume: 25 Issue: 2, 447 - 454, 16.04.2012

Abstract

References

  • “Sectoral Research and Strategies Department”, Three-month market data report, Information and Communication Technology Authority 2010 Year 4. Quarter N:12, Ankara, 36-59,( 2011).
  • Savaş, S., Topaloğlu, N., “Performance analysis of GSM networks with data mining method”. Journal of the Faculty of Engineering and Architecture of Gazi University, 26(4): 741-751, (2011). [3] Turkcell 1 Değil http://www.turkcell.com.tr/site/tr/turkcellhakkinda/ Sayfalar/daha-fazla-hayat/turkcell-1-degil-4- ceker.aspx Access Date:, 23.08.2011 (2011).
  • Avea Basın Bültenleri. (2006, 17 October). http://www.avea.com.tr/tr/sta/hakkinda/basinodasi/ ort_20061017.shtml?pagemenu=basinodasi.bultenl er Access Date: 23.08.2011, [5] Vodafone Kapsama Alanı Kampanyası, http://www.vodafone.com.tr/Kampanyalar/cekim- kalitesi-kampanyasi.php (2011). Access Date: 23.08.2011,
  • Biroğul, S., “Implementation of frequency planning using data fusion for GSM Networks”, Gazi University Institute of Science and Technology, 25-130 (2008). [7] Bilim, M., Develi, İ. and Kabalcı, Y.,
  • “Measurement and evaluation of electromagnetic
  • density on GSM 900 Mhz frequency band for
  • different time periods of a day”, Electric
  • Electronic Computer Symposium, Elazığ, 195-199 (2011).
  • Ludwin, W. and Chlebus, E., Performance comparison of simulators for cellular mobile Networks. Applied Mathematical Modelling, 20, 585-587, 1996.
  • Han. K. Simulation studies of the effects of user mobility on the handoff performance of mobile communications. Simulation Modelling Practice and Theory, 10, 497-512(2002, 31 December).
  • Thomas, R.W., Raines, R.A., Baldwin, R.O. and Temple, M.A., “Performance analysis of multicast algorithms for mobile satellite communication Networks”, Computer Communications, 25, 1085- 1093, (2002).
  • Takahashi, T., Ozawa, T.,and Takahashi, Y., “Bounds of performance measures in large-scale mobile communication Networks”, Performance Evaluation, 54, 263-283, 2003.
  • Alfa, A.S., and Liu, B., “Performance analysis of a mobile communication network: the tandem case”, Computer Communications, 27: 208-221 (2004).
  • Yoneyama, K., Matsukawa, T.,and Ishii, H., “Performance evaluation of product form cellular mobile communications Networks”. Computers & Mathematics with Applications, 51: 219-228 (2006).
  • Chu, K.C.,and Lin, F.Y.S., “Survivability and performance optimization of mobile wireless communication networks in the event of base station Engineering, 32, 50-64, (2006). & Electrical
  • Markoulidakis. J.G., “Received signal strength based mobile terminal positioning error analysis and optimization”. Computer Communications, 33, 1227-1234 (2010, 15 June)..
  • GSM / GPRS modems, Telemetry and data “AT+CSQ http://www.gprsmodems.co.uk/images/csq1.pdf, (March 2011). in dbm”,
There are 17 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Electrical & Electronics Engineering
Authors

Serkan Savas

Nurettin Topaloglu

Bünyamin Cıylan

Publication Date April 16, 2012
Published in Issue Year 2012 Volume: 25 Issue: 2

Cite

APA Savas, S., Topaloglu, N., & Cıylan, B. (2012). ANALYSIS OF MOBILE COMMUNICATION SIGNALS WITH FREQUENCY ANALYSIS METHOD. Gazi University Journal of Science, 25(2), 447-454.
AMA Savas S, Topaloglu N, Cıylan B. ANALYSIS OF MOBILE COMMUNICATION SIGNALS WITH FREQUENCY ANALYSIS METHOD. Gazi University Journal of Science. April 2012;25(2):447-454.
Chicago Savas, Serkan, Nurettin Topaloglu, and Bünyamin Cıylan. “ANALYSIS OF MOBILE COMMUNICATION SIGNALS WITH FREQUENCY ANALYSIS METHOD”. Gazi University Journal of Science 25, no. 2 (April 2012): 447-54.
EndNote Savas S, Topaloglu N, Cıylan B (April 1, 2012) ANALYSIS OF MOBILE COMMUNICATION SIGNALS WITH FREQUENCY ANALYSIS METHOD. Gazi University Journal of Science 25 2 447–454.
IEEE S. Savas, N. Topaloglu, and B. Cıylan, “ANALYSIS OF MOBILE COMMUNICATION SIGNALS WITH FREQUENCY ANALYSIS METHOD”, Gazi University Journal of Science, vol. 25, no. 2, pp. 447–454, 2012.
ISNAD Savas, Serkan et al. “ANALYSIS OF MOBILE COMMUNICATION SIGNALS WITH FREQUENCY ANALYSIS METHOD”. Gazi University Journal of Science 25/2 (April 2012), 447-454.
JAMA Savas S, Topaloglu N, Cıylan B. ANALYSIS OF MOBILE COMMUNICATION SIGNALS WITH FREQUENCY ANALYSIS METHOD. Gazi University Journal of Science. 2012;25:447–454.
MLA Savas, Serkan et al. “ANALYSIS OF MOBILE COMMUNICATION SIGNALS WITH FREQUENCY ANALYSIS METHOD”. Gazi University Journal of Science, vol. 25, no. 2, 2012, pp. 447-54.
Vancouver Savas S, Topaloglu N, Cıylan B. ANALYSIS OF MOBILE COMMUNICATION SIGNALS WITH FREQUENCY ANALYSIS METHOD. Gazi University Journal of Science. 2012;25(2):447-54.