Large-scale location estimation over GSM networks: The gear approach

William H. Wong; Joseph K Y Ng; Karl R.P.H. Leung

doi:10.1109/icdcsw.2004.1284090

Large-scale location estimation over GSM networks: The gear approach

William H. Wong^*, Joseph K Y Ng, Karl R.P.H. Leung

^*Corresponding author for this work

Department of Computer Science

Research output: Contribution to conference › Conference paper › peer-review

6 Citations (Scopus)

Abstract

Mobile location estimation is a difficult task in wireless communication. Many scholars resolve this problem by formulating a suitable propagation model for the specific environment. In this paper¹, the two layer Self-Organizing Map and the Log-Distance Path Loss Model are used to build the cell-specific propagation model or the power map in the approximation phase. A well-trained power map can precisely explain the features and surroundings of a cell. In the recommendation process, power maps are prepared, merged and an optimized lookup function is to estimate a correct position.

Original language	English
Pages	574-579
Number of pages	6
DOIs	https://doi.org/10.1109/icdcsw.2004.1284090
Publication status	Published - 2004
Event	24th International Conference on Distributed Computing Systems Workshops - Hachioji, Japan Duration: 23 Mar 2004 → 24 Mar 2004

Conference

Conference	24th International Conference on Distributed Computing Systems Workshops
Country/Territory	Japan
City	Hachioji
Period	23/03/04 → 24/03/04

Scopus Subject Areas

Software
Hardware and Architecture
Computer Networks and Communications

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10.1109/icdcsw.2004.1284090

Cite this

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title = "Large-scale location estimation over GSM networks: The gear approach",

abstract = "Mobile location estimation is a difficult task in wireless communication. Many scholars resolve this problem by formulating a suitable propagation model for the specific environment. In this paper1, the two layer Self-Organizing Map and the Log-Distance Path Loss Model are used to build the cell-specific propagation model or the power map in the approximation phase. A well-trained power map can precisely explain the features and surroundings of a cell. In the recommendation process, power maps are prepared, merged and an optimized lookup function is to estimate a correct position.",

author = "Wong, {William H.} and Ng, {Joseph K Y} and Leung, {Karl R.P.H.}",

year = "2004",

doi = "10.1109/icdcsw.2004.1284090",

language = "English",

pages = "574--579",

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TY - CONF

T1 - Large-scale location estimation over GSM networks

T2 - 24th International Conference on Distributed Computing Systems Workshops

AU - Wong, William H.

AU - Ng, Joseph K Y

AU - Leung, Karl R.P.H.

PY - 2004

Y1 - 2004

N2 - Mobile location estimation is a difficult task in wireless communication. Many scholars resolve this problem by formulating a suitable propagation model for the specific environment. In this paper1, the two layer Self-Organizing Map and the Log-Distance Path Loss Model are used to build the cell-specific propagation model or the power map in the approximation phase. A well-trained power map can precisely explain the features and surroundings of a cell. In the recommendation process, power maps are prepared, merged and an optimized lookup function is to estimate a correct position.

AB - Mobile location estimation is a difficult task in wireless communication. Many scholars resolve this problem by formulating a suitable propagation model for the specific environment. In this paper1, the two layer Self-Organizing Map and the Log-Distance Path Loss Model are used to build the cell-specific propagation model or the power map in the approximation phase. A well-trained power map can precisely explain the features and surroundings of a cell. In the recommendation process, power maps are prepared, merged and an optimized lookup function is to estimate a correct position.

UR - http://www.scopus.com/inward/record.url?scp=3042693773&partnerID=8YFLogxK

U2 - 10.1109/icdcsw.2004.1284090

DO - 10.1109/icdcsw.2004.1284090

M3 - Conference paper

AN - SCOPUS:3042693773

SP - 574

EP - 579

Y2 - 23 March 2004 through 24 March 2004

ER -

Large-scale location estimation over GSM networks: The gear approach

Abstract

Conference

Scopus Subject Areas

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