@inproceedings{c45fe0aa78bc4a7e9c374e2327ad92dc,
title = "Coverage mapping using spatial interpolation with field measurements",
abstract = "Coverage optimization is a crucial task for a radio network operator. An accurate coverage estimation is a key prerequisite for efficient coverage analysis and optimization. In this paper, we propose a coverage prediction method based on statistical modeling of the wireless environment. We build a Radio Environment Map by interpolating geo-located measurements using the Kriging spatial prediction technique. Moreover, as we perform Kriging on massive observation datasets obtained through field measurement campaigns, we use Fixed Rank Kriging, to reduce the complexity of the Kriging algorithm. We apply the FRK algorithm for Long Term Evolution (LTE) network coverage prediction. We consider as observation data, the coverage measurements obtained by operational drive tests in a rural area. Numerical results show that by using the FRK algorithm, we fulfill a good trade-off between computational complexity and prediction accuracy.",
keywords = "Coverage Map, Drive Test, Fixed Rank Kriging, Spatial Statistics, Wireless Network",
author = "Hajer Braham and \{Ben Jemaa\}, Sana and Berna Sayrac and Gersende Fort and Eric Moulines",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, IEEE PIMRC 2014 ; Conference date: 02-09-2014 Through 05-09-2014",
year = "2014",
month = jun,
day = "25",
doi = "10.1109/PIMRC.2014.7136450",
language = "English",
series = "IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1743--1747",
booktitle = "2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, PIMRC 2014",
}