Paper Info
Title
Construction Of The Rsrp Map Using Sparse Mdt Measurements By Regression Clustering
Abstract
Radio environment maps are geographical maps with overlaid performance information of radio communication systems, that can be considered as one of the key enablers for self-organizing networks. After the introduction of Minimization of Drive Tests (MDT) to the standards, operators are interested to generate radio environment maps based on sparse sets of MDT measurements gathered from user equipment. In this paper, we consider the construction of the Reference Signal Received Power (RSRP) map, which is an example of a radio environment map using such a sparse MDT measurement set from user equipment. In particular, we propose a two-step algorithm for RSRP map generation which is shown to bring substantial performance improvement in terms of the mean absolute error of the predicted RSRP map as compared to the existing baseline methods, i.e., environmental-based regression and inverse distance weighting interpolation.
Year
Venue
Field
2017
2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
Data mining,Inverse distance weighting,Computer science,Interpolation,Communications system,Real-time computing,Minification,User equipment,Cluster analysis,Reflection mapping,Performance improvement
DocType
ISSN
Citations 
Conference
1550-3607
0
PageRank 
References 
Authors
0.34
6
2
Name
Order
Citations
PageRank
Foad Sohrabi134214.02
Edgar Kühn25613.83