On Geostatistical Methods for Radio Environment Maps Generation under Location Uncertainty

  • Ricardo Augusto Escola Politécnica da Universidade de São Paulo - USP
  • Cristiano Panazio Escola Politécnica da Universidade de São Paulo - USP
Keywords: Spatial Predictions, Kriging, Location Errors, Geostatistics.

Abstract

Radio environment map (REM) can provide important information for designing and optimizing the performance of wireless communication networks. However, the location uncertainty related to the measurements used to build the REM can considerably deteriorate the accuracy of such map. This paper addresses this problem by proposing a modified approach of a classical geostatistical prediction tool, named Kriging method, which incorporates the location uncertainty and is able to improve the REM accuracy without adding significant complexity. Finally, we also show through simulation results that the average path loss and covariance parameter estimation play an important role and should be considered when the location errors occur in the wireless communication systems.

Published
07-05-2018
How to Cite
Augusto, R., & Panazio, C. (2018). On Geostatistical Methods for Radio Environment Maps Generation under Location Uncertainty. Journal of Communication and Information Systems, 33(1). https://doi.org/10.14209/jcis.2018.8
Section
Regular Papers