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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-f2fadb63-5060-4882-90a3-362a5074e9f7

Czasopismo

Archiwum Fotogrametrii, Kartografii i Teledetekcji

Tytuł artykułu

Analysis and simulation of wireless signal propagation applying geostatistical interpolation techniques

Autorzy Kolyaie, S.  Yaghooti, M.  Majidi, G. 
Treść / Zawartość
Kolyaie.pdf
Warianty tytułu
Języki publikacji EN
Abstrakty
EN This paper is a part of an ongoing research to examine the capability of geostatistical analysis for mobile networks coverage prediction, simulation and tuning. Mobile network coverage predictions are used to find network coverage gaps and areas with poor serviceability. They are essential data for engineering and management in order to make better decision regarding rollout, planning and optimisation of mobile networks.The objective of this research is to evaluate different interpolation techniques in coverage prediction. In method presented here, raw data collected from drive testing a sample of roads in study area is analysed and various continuous surfaces are created using different interpolation methods. Two general interpolation methods are used in this paper with different variables; first, Inverse Distance Weighting (IDW) with various powers and number of neighbours and second, ordinary kriging with Gaussian, spherical, circular and exponential semivariogram models with different number of neighbours. For the result comparison, we have used check points coming from the same drive test data. Prediction values for check points are extracted from each surface and the differences with actual value are computed.The output of this research helps finding an optimised and accurate model for coverage prediction.
Słowa kluczowe
PL GIS   geostatystyka   kriging   interpolacja   IDW   propagacja fal radiowych   uszczelnianie  
EN GIS   geostatistics   kriging   interpolation   IDW   radio propagation   prediction  
Wydawca Zarząd Główny Stowarzyszenia Geodetów Polskich
Czasopismo Archiwum Fotogrametrii, Kartografii i Teledetekcji
Rocznik 2011
Tom Vol. 22
Strony 261--270
Opis fizyczny Bibliogr. 15 poz.
Twórcy
autor Kolyaie, S.
  • Dept. of Surveying and Geomatics Eng., College of Eng., University of Tehran , samira.kolyaie@gmail.com
  • MTN-Irancell- Network Group- Radio Division- GIS Team
autor Yaghooti, M.
  • Dept. of Surveying and Geomatics Eng., College of Eng., University of Tehran, m.yaghooti@gmail.com
  • MTN-Irancell- Network Group- Radio Division- GIS Team
autor Majidi, G.
  • Dept. of Surveying and Geomatics Eng., College of Eng., University of Tehran, gilda.majidi@gmail.com
  • MTN-Irancell- Network Group- Radio Division- GIS Team
Bibliografia
1.Arpee J., Herndon, Stan Gutowski, Mustafa Touati, 2000, “Apparatus and method for geostatistical analysis of wireless signal propagation”, US patent 6,711,404,2004, Technical Aspect of Geostatistics, pp. 2-1 to 2-17
2. Armstrong M., 1998, Basic linear geostatistics
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7.Konak, A., 2009, “A kriging approach to predicting coverage in wireless networks”, International Journal of Mobile Network Design and Innovation 3: 64-70.
8.Konak, A., 2010, “Estimation path loss in wireless local area using ordinary”, Proceedings of the 2010 Winter Simulation Conference, B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds.
9.Krivoruchko K., 2001, “Using linear and non-linear kriging interpolators to produce probability maps”, Annual conference of the international association for mathematical Geology, Cancun, Mexico, September, IAMG 2001
10.Matheron G., 1963 “principles of geostatistics,” , Economic Geology; 1 December 1963; v. 58; no. 8; p. 1246-1266; DOI: 10.2113/gsecongeo.58.8.1246)
11.Robert H. P., 1993, Spatial data analysis in the social and environmental sciences
12.Wackernagel H., 2003, Multivariate geostatistics: an introduction with applications
13.Webster R., T. M. Burgess, 2006, “Optimal interpolation and isarithmic mapping of soil properties III changing drift and universal kriging”, Soil Science, Vol. 31, Issue 3, pp. 505–524
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15.Zimmerman DL, Zimmerman M. B., 1991, “A comparison of spatial semivariogram estimators and corresponding ordinary kriging predictors”, Technometrics, Vol. 33, pp. 77-91
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