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Path Loss Measurement for GSM Terrains in Lagos State, Nigeria

N. O. Salau, O. O. Shoewu, A. O. Ogunlewe. Published in Information Sciences.

Communications on Applied Electronics
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: N. O. Salau, O. O. Shoewu, A. O. Ogunlewe
10.5120/cae2017652497

N O Salau, O O Shoewu and A O Ogunlewe. Path Loss Measurement for GSM Terrains in Lagos State, Nigeria. Communications on Applied Electronics 6(7):8-16, February 2017. BibTeX

@article{10.5120/cae2017652497,
	author = {N. O. Salau and O. O. Shoewu and A. O. Ogunlewe},
	title = {Path Loss Measurement for GSM Terrains in Lagos State, Nigeria},
	journal = {Communications on Applied Electronics},
	issue_date = {February 2017},
	volume = {6},
	number = {7},
	month = {Feb},
	year = {2017},
	issn = {2394-4714},
	pages = {8-16},
	numpages = {9},
	url = {http://www.caeaccess.org/archives/volume6/number7/702-2017652497},
	doi = {10.5120/cae2017652497},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

This paper presents report of research work on comparative analysis of Pathloss measurements based on terrain differences, frequencies of operation and distance between Base Transceiver Station (BTS) and Mobile Station (MS). Lagos state G.S.M terrains with 2G (900MHz / 1800MHz) and 3G (2100MHz) frequencies of operation were put under investigation. Field data were collected through drive tests from twelve (12) different sites using TEMS software in the chosen environments over a range of distance between 0.5-10Km from Base station (BS) to Mobile station (MS) with measurement taken at 0.5Km intervals for a period of one year (52 weeks). Strategically Lagos-Island (N60 27.4832’ E30 23.5453’), Surulere (N60 33.3844’ E30 20.9407’), Lekki-Oniru (N60 26.6661’ E30 28.7463’) and Agbede-Ikorodu (N60 39.9250’ E30 29.0363’) were chosen as dense-urban (DU), urban (UR), sub-urban (SU) and non-urban (NU) G.S.M terrains respectively. In this research work Rxlev/RSSI and Pathloss were measured in all areas of investigation and empirical Cost231-Hata model was used for pathloss calculation of field data, and its results were compared with Pathloss measured through drive tests. The measured pathloss, when compared with empirical values from the COST 231 theoretical models, showed a close agreement with the pathloss predicted by the COST231- Hata model in terms of mean square error analysis. During our findings it was revealed that Pathloss increases with distance between BTS and MS, Pathloss also increases with frequency of operation; hence 3G networks experience more pathloss than 2G and from further analysis it was observed that Pathloss increases from Non-Urban to Sub-Urban to Urban and Dense-Urban respectively when compared using different terrain characteristics.

References

  1. L. Akinyemi, N. Makanjuola, O. Shoewu, and F. Edeko, "Evaluation and Analysis of 3G Network in Lagos Metropolis, Nigeria," Science and Education, vol. 2, pp. 81-87, 2014.
  2. Danladi Ali, Natalia V. A, Measurement and Modeling of Path Loss for GSM Signal in a Sub Urban Environment over irregular terrain review. International Journal of Science and Research (IJSR) Volume 3 Issue 8, August 2014.
  3. S. Ajose and A.L. Imoize, "Propagation measurements and modelling at 1800 MHz in Lagos Nigeria," International Journal of Wireless and Mobile Computing, vol. 6, pp. 165-174, 2013.
  4. Mustafa Bin Amar :Drive Test Overview
  5. Isabona Joseph1, Konyeha. C. C, Chinule. C. Bright, Isaiah Gregory Peter, Radio Field Strength Propagation Data and Pathloss calculation Methods in UMTS Network(2013)
  6. Mardeni, R. and Priya, T.S. “Optimized COST 231 Hata models for WiMAX pathloss prediction in suburban and open urban environments,”.Modern Applied Science, vol. 4(9)- (2010)
  7. Goldsmith, A. “Wireless Communication.” Cambridge University Press, New York. - (2005).
  8. Nochiri.Ifeoma.U, C.C Osuagwu, K.C. Okafor, Empirical Analysis on the GSM Network KPIs Using Real-Time Methodology for a Novel Network Integration Progress In Science and Engineering Research Journal (PISER) 13, Vol.02, Issue: 03/06 May- June; Bimonthly International Journal.-(2014) pg: 92-107
  9. Prof. Theodore S. Rappaport, Wireless Communications Principles and Practice, 2nd Edition, University of Texas, U.S.A-2002
  10. John S. Seybold, Wireless Communication Principles and practice, 2nd Edition, U.S.A-(2005)
  11. Sylvain Ranvier, Path loss models S-72.333 Physical layer methods in wireless communication systems-(2014)
  12. A. Obot, O. Simeonb, and J. Afolayan, "Comparative analysis of path loss prediction models for urban macrocellular environments," Nigerian Journal of Technology, vol. 30, 2011
  13. Google.com (2016)
  14. Alatishe Adeyemi, Adu Oluwadamilola, Atayero Aderemi, Idachaba Francis, A Performance Review of the Different path Loss models for LTE Network Planning, World Congress on Engineering 2014 Vol I, WCE 2014, July 2 - 4, 2014, London, U.K.
  15. Syahfrizal Tahcfulloh, Eka Riskayadi Optimized Suitable Propagation Model for GSM 900Path Loss Prediction TELKOMNIKA Indonesian Journal of Electrical Engineering, Vol. 14, No. 1, April 2015, pp. 154 ~ 162, DOI: 10.11591/telkomnika.v14i1.7470
  16. A.U Usman, O.U Okereke, E.E. Omizegba Comparative analysis of pathloss model predictions with measurements taken for G.S.M 900/1800 MHZ networks in Bauchi suburbs of Nigeria. July 2012
  17. NT Surajudeen Bakinde, N Faruk, AA Ayeni, MY Muhammad, MI Gumel. Comparison of Propagation Models for GSM 1800 and WCDMA Systems in Selected Urban Areas of Nigeria. International Journal of Applied Information Systems (IJAIS). 2012; 2(7): 6-13.
  18. O.O. Shoewu, N.O. Salau , A.O Ogunlewe, L.I Oborkharle Pathloss Measurement and Modeling For Lagos State G.S.M Environment- Review of Computer Engineering Research, 2016, 3(4): 69-81

Keywords

GSM, RSS, RSSI, Terrain and Pathloss