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A collaborative algorithm is developed to estimate the channel gains of wireless links in a geographical area. The spatiotemporal evolution of shadow fading is characterized by judiciously extending an experimentally verified spatial-loss field model. Kriged Kalman filtering (KKF), which is a tool with widely appreciated merits in spatial statistics and geosciences, is adopted and implemented in a...
A collaborative algorithm is developed to track the channel gains from arbitrary positions in a geographical area to each node of a cognitive radio network. Spatio-temporal shadow fading effects are characterized using an experimentally verified spatial loss field model. Kriged Kalman filtering (KKF) is then applied to track the time-varying shadowing field. The proposed KKF algorithm consists of...
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