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In this paper, the authors are interested in fundamentally understanding the spatial predictability of wireless channels. They propose a probabilistic channel prediction framework for predicting the spatial variations of a wireless channel, based on a small number of measurements. By using this framework, they then develop a mathematical foundation for understanding the spatial predictability of wireless channels. More specifically, they characterize the impact of different environments, in terms of their underlying parameters, on wireless channel predictability.
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