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Interdependency among system parameters may significantly affect the cross-layer design and optimization performance of wireless networks. However, it is very difficult to derive the interdependency among system parameters in a dynamic complex networking system due to the uncertainty of data observation and system modeling. In this paper, the authors propose a new approach for dynamic interdependency measure among system parameters by using non-additive measure theory. In particular, the Choquet integral model is applied to distinguish the interaction among system parameters towards the objective function through a set of non-additive measures.
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