Journal ArticleDOI
A kriging approach to predicting coverage in wireless networks
TLDR
Kriging is introduced as a new tool to predict network coverage in wireless networks by estimating network coverage at points where no site survey data is available and was compared with a radial basis function artificial neural network.Abstract:
This paper introduces kriging as a new tool to predict network coverage in wireless networks. The proposed approach aims to reduce the cost of active site surveys by estimating network coverage at points where no site survey data is available. The proposed approach was compared with a radial basis function artificial neural network using several problems.read more
Citations
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Journal ArticleDOI
A Survey of Wireless Path Loss Prediction and Coverage Mapping Methods
TL;DR: A new taxonomy for reasoning about the similarities and differences of the many approaches is provided and a brief but complete overview of the various methods is provided as well as describing insights into future directions for research in this area.
Proceedings ArticleDOI
Practical radio environment mapping with geostatistics
TL;DR: It is found that this approach to radio environment mapping is feasible and produces maps that are more accurate and informative than both explicitly tuned path loss models and basic data fitting approaches.
Proceedings ArticleDOI
Estimating path loss in wireless local area networks using ordinary kriging
TL;DR: In this paper, the authors introduce ordinary kriging as a new tool to predict network coverage in wireless local area networks, which aims to reduce the cost of active site surveys by estimating path loss at points where no measurement data is available using samples taken at other points.
Proceedings ArticleDOI
Revisiting TV coverage estimation with measurement-based statistical interpolation
TL;DR: Results have shown that empirical DBA models tend to over-estimate received signal strengths by not explicitly accounting for local obstructions, while measurement-based Kriging achieves consistently good performance.
Proceedings ArticleDOI
Secure crowdsourced radio environment map construction
TL;DR: SecREM is introduced, a novel scheme for securely constructing a REM in the presence of false spectrum measurements that relies on a small number of trusted spectrum measurements whereby to evaluate the trustworthiness of the measurements from mobile users and gradually incorporate the most trustworthy ones to construct an accurate REM.
References
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A statistical approach to some basic mine valuation problems on the Witwatersrand
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