This book provides the first comprehensive study of the applications of stochastic geometry methods in cognitive radio networks. It elaborates the necessary mathematical tools and discusses the state of the art in geometrical modeling and analysis of cognitive radio networks and will be a first general book for the researchers in this field. Readers will be introduced to tools for managing the inherent uncertainty in the spatial locations of wireless nodes in cognitive radio networks, in order to satisfy the interference constraints on the primary receivers and to make the coexistence of primary and secondary networks possible.
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