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A stochastic differential equation is considered for modeling the power attenuation dynamics for large-scale lognormal fading channels in wireless communication systems. The model can be used for power control and the problem of estimating the model parameters is studied. Estimators for the parameters based on sample covariances from data corrupted by discrete-time measurement noise are given. The...
The problem of estimating the power attenuation dynamics for large-scale lognormal fading channels in wireless communication systems, when the model is described as a mean reverting Ornstein-Uhlenbeck process, is studied in the paper. Fast and accurate estimators for the model parameters from irregularly sampled data are suggested for both offline and online applications. The Crameacuter-Rao bound...
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