Best Sensor Selection for an Iterative REM Construction

Author

Grimoud, Sebastien ; Sayrac, Berna ; Ben Jemaa, Sana ; Moulines, Eric

Author_Institution

Orange Labs., Issy-Les-Moulineaux, France

fYear

2011

fDate

5-8 Sept. 2011

Firstpage

1

Lastpage

5

Abstract

In this paper we propose a Bayesian approach for estimating parameters of the radio propagation model, and an iterative Kriging interpolation algorithm for choosing the best candidate measurement to be retrieved into the Radio Environment Map (REM). We compare the performance with a random choice of the candidate measurement and show that our algorithm reduces the amount of measurement needed by 33%. The proposed algorithm has also the merit of being fast enough to be implemented in an online fashion for REMs with a grid size of 25m and for pedestrian mobile speeds.

Keywords

Bayes methods; cellular radio; interpolation; iterative methods; parameter estimation; radiowave propagation; sensors; Bayesian approach; best candidate measurement; best sensor selection; estimating parameter estimation; iterative Kriging interpolation algorithm; iterative REM construction; pedestrian mobile speeds; radio environment map; radio propagation model; size 25 m; Analytical models; Computational modeling; Correlation; Interpolation; Mobile communication; Shadow mapping; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference (VTC Fall), 2011 IEEE

Conference_Location

San Francisco, CA

ISSN

1090-3038

Print_ISBN

978-1-4244-8328-0

Type

conf

DOI

10.1109/VETECF.2011.6093004

Filename

6093004