Sequential Channel State Tracking & SpatioTemporal Channel Prediction in Mobile Wireless Sensor Networks


We propose a nonlinear filtering framework for approaching the problems of channel state tracking and spatiotemporal channel gain prediction in mobile wireless sensor networks, in a Bayesian setting. We assume that the wireless channel constitutes an observable (by the sensors/network nodes), spatiotemporal, conditionally Gaussian stochastic process, which… (More)


3 Figures and Tables