Multilayer feedforward networks are universal approximators
Neural Networks
A neural network-based approach for predicting connectivity in wireless networks
International Journal of Mobile Network Design and Innovation
A kriging approach to predicting coverage in wireless networks
International Journal of Mobile Network Design and Innovation
In-building wideband partition loss measurements at 2.5 and 60 GHz
IEEE Transactions on Wireless Communications
Large-scale wireless LAN design
IEEE Communications Magazine
Rollabout: a wireless design tool
IEEE Communications Magazine
Propagation measurements and models for wireless communications channels
IEEE Communications Magazine
Estimating path loss in wireless local area networks using ordinary kriging
Proceedings of the Winter Simulation Conference
Hi-index | 0.00 |
In this paper, a new approach based on ordinary kriging is proposed to predict network coverage in wireless local area networks. The proposed approach 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. To include the effect of obstacles on the covariance among points, a distance measure is developed based on an empirical path loss model. The proposed approach is tested in a simulated wireless local area network. The results show that ordinary kriging is able to estimate path loss with acceptable error levels.