A kriging approach to predicting coverage in wireless networks

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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.

Original languageEnglish (US)
Pages (from-to)65-71
Number of pages7
JournalInternational Journal of Mobile Network Design and Innovation
Volume3
Issue number2
DOIs
StatePublished - Jan 2009

All Science Journal Classification (ASJC) codes

  • Software
  • Management Information Systems
  • Computer Networks and Communications
  • Artificial Intelligence

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