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The cross-correlation between shadowing components in wireless communications has important implications for wireless systems. The new cooperative and cognitive communications methods can exploit these correlations, if the statistical properties of shadowing correlations were known in particular radio environment under the consideration. The statistical large scale models have higher uncertainty compared to locally provided models. In this paper, the authors study the question how much uncertainty for shadow models is generated by sparsely sampling shadowing coefficients in a locality to build Radio Environment Maps that include shadowing models.
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