DocumentCode
476546
Title
Optimization of radio base station placement for localization of moving terminals indoors
Author
Rutecki, Maciej ; Kacprzak, Tomasz
Author_Institution
Tech. Univ. of Lodz, Lodz
fYear
2008
fDate
19-21 May 2008
Firstpage
1
Lastpage
4
Abstract
The aim of this paper is to present new method of placing radio stations used for solving geolocation problem in indoor applications. It takes advantages of use neural networks, winner takes most algorithm, resilience phenomenon, Brownian motion and Monte Carlo method. This allow to significantly reduce time needed to compute optimal position of radio stations, while keeping good precision of calculation.
Keywords
Brownian motion; Monte Carlo methods; neural nets; radio networks; telecommunication computing; Brownian motion; Monte Carlo method; geolocation problem; indoor applications; moving terminals indoors localization; neural networks; radio base station placement; resilience phenomenon; winner takes most algorithm; wireless communication technologies; Bandwidth; Base stations; Electromagnetic scattering; Frequency diversity; Frequency modulation; Modulation coding; Neural networks; OFDM modulation; Optimization methods; Resilience;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwaves, Radar and Wireless Communications, 2008. MIKON 2008. 17th International Conference on
Conference_Location
Wroclaw
Print_ISBN
978-83-906662-8-0
Type
conf
Filename
4630199
Link To Document