A neural network-based approach for predicting connectivity in wireless networks

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This paper proposes a Connectivity Decision Support System based on connectivity maps generated by a neural network approach. The proposed approach creates a coverage map based on the signal strengths from active wireless users. These data are used to train a neural network to predict the signal strengths or coverage for locations for which no active user is reporting. In other words, a neural network fills in gaps in a coverage map for a given network connection point.

Original languageEnglish (US)
Pages (from-to)18-23
Number of pages6
JournalInternational Journal of Mobile Network Design and Innovation
Issue number1
StatePublished - Jan 1 2005


All Science Journal Classification (ASJC) codes

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

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