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Weighted Multiple Linear Regression Model for Mobile Location Estimation in GSM Network

Author

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  • Longinus Sunday Ezema

    (Electrical and Electronic Department, University of Technology, Owerri, Imo State, Nigeria)

  • Cosmas I. Ani

    (Electronic Department, University of Nigeria Nsukka, Enugu State, Nigeria)

Abstract

The numbers of crimes and accidents, among other challenging issues, requiring a mobile application with localization capabilities are on the increase. Yet there is under-utilization of location information provided by mobile phones. The accuracy and cost of implementation of mobile position localization on cellular network have been an issue of research interest. In this paper, the statistical modelling of mobile station (MS) position location was carried out using weighted multiple linear regressions (WMLR) method. The proposed statistical modelling approach was based on received signal strength (RSS) technique. The model improved localization accuracy. The model's simulated results were analysed and compared with the existing MLR using real measured data collected from GSM network in a light urban environment in Enugu, Nigeria.

Suggested Citation

  • Longinus Sunday Ezema & Cosmas I. Ani, 2020. "Weighted Multiple Linear Regression Model for Mobile Location Estimation in GSM Network," International Journal of Interdisciplinary Telecommunications and Networking (IJITN), IGI Global, vol. 12(1), pages 57-69, January.
    • Handle: RePEc:igg:jitn00:v:12:y:2020:i:1:p:57-69
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