Title :
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
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;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2011 IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-8328-0
DOI :
10.1109/VETECF.2011.6093004
