Experimental validation of stochastic wireless Urban channel model: Estimation and prediction

Stochastic state-space models can be used to describe the time-varying nature of wireless channels. This paper validates a long-term fading channel model that predicts signal strength from measured received signal strength measurements. Such channel models can be used for optimizing wireless networks deployed for industrial automation, public Internet access, and other applications. This paper uses two different sets of received signal measurement data to estimate and predict the signal strength based on past measurements. The real-world performance of the estimation and prediction algorithm is demonstrated.