Title
The indirect self-tuning method for constructing radio environment map using omnidirectional or directional transmitter antenna.
Abstract
In this paper, we propose a new indirect method for constructing the radio frequency layer of radio environment map (RF-REM) called self-tuning method (STM). The proposed STM takes into account the characteristics of the operating environment and performs estimation of the transmitter parameters, i.e. its location, antenna diagram, antenna azimuth, transmit power, as well the parameters of the propagation model to obtain the best match between the available measurements and the predicted signal levels. We compare STM to several most often considered existing methods using different numbers of randomly distributed measurements, which could in practice be obtained in a participatory-like manner. The performance evaluation of the methods is performed in terms of averaged root mean square error (\(\overline {\text {{RMSE}}}\)) and 95% confidence interval (CI) calculated between the constructed RF-REMs and the reference RF-REM, as well as in terms of false alarm zone ratio (FAZR) and correct detection zone ratio (CDZR 1). The analysis shows the robustness of the STM to various spatial distributions of measurements and its fast convergence and low residual root mean square error compared to the inverse distance weighted (IDW) method, the inverse distance square weighted method (IDW2), the Kriging method, and the location estimation-based method (LIvE).
Year
DOI
Venue
2015
10.1186/s13638-015-0297-2
EURASIP J. Wireless Comm. and Networking
Keywords
Field
DocType
Cognitive radio, REM, RF-REM, Construction methods, Mobile network
Inverse,Residual,Transmitter,Omnidirectional antenna,Transmitter power output,Computer science,Azimuth,Algorithm,Mean squared error,Real-time computing,Radio frequency,Statistics
Journal
Volume
Issue
ISSN
2015
1
1687-1499
Citations 
PageRank 
References 
10
0.58
16
Authors
6
Name
Order
Citations
PageRank
Marko Pesko1282.76
Tomaz Javornik2579.30
Luka Vidmar3141.80
Andrej Kosir4241.55
Mitja Štular5293.79
Mihael Mohorcic623528.66