Network Based Mobile Station Positioning in Metropolitan Area

Karl R.P.H. Leung*, Joseph K Y Ng, Tim K.T. Chan, Kenneth M.K. Chu, Chun Hung Li

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

5 Citations (Scopus)


Recently, mobile station positioning is drawing considerable attention in the field of wireless communications. Many location estimation techniques have been proposed. Although location estimation algorithms based on received signal strength technique may not be the most promising approach for providing location services, signal strength is the only common attribute available among various kind of mobile network. In this paper, we report our study of a Crude Estimation Method (CEM) which estimate the location of a mobile station based on the ratio of the signal strengths received from different base transceiver stations. We conducted series of field tests with the networks of two major mobile phone operators of Hong Kong. Among 6120 real world readings obtained from these field tests, the average errors of CEM is 49.03 meter with a variance of 538.14. When comparing the results of CEM with the Center of Gravity Method (CGM), another mobile location estimation also based on signal strength ratio, CEM has an improvement of 33.85% with about the same variance. These results are very encouraging in the study of mobile network based mobile station positioning in metropolitan areas.

Original languageEnglish
Title of host publicationEuro-Par 2003 Parallel Processing
Subtitle of host publication9th International Euro-Par Conference, Klagenfurt, Austria, August 26–29, 2003 Proceedings
EditorsHarald Kosch, László Böszörményi, Hermann Hellwagner
PublisherSpringer Berlin Heidelberg
Number of pages10
ISBN (Electronic)9783540452096
ISBN (Print)9783540407881
Publication statusPublished - 13 Aug 2003
Event9th International Euro-Par Conference on Parallel Processing 2003 - Klagenfurt, Austria
Duration: 26 Aug 200329 Aug 2003

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameEuro-Par: European Conference on Parallel Processing


Conference9th International Euro-Par Conference on Parallel Processing 2003
Abbreviated titleEuro-Par 2003
Internet address

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

User-Defined Keywords

  • Global Position System
  • Signal Strength
  • Mobile Station
  • Location Estimation
  • Receive Signal Strength


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