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Despite the central role of mobility in wireless networks, there are surprisingly few fundamental results on its properties. This paper aims to address this gap by proposing a new Random Way-Point (RWP) mobility model defined on the entire plane and applying it to analyze two key cellular network parameters: handover rate and sojourn time. Stochastic properties of the proposed model are carefully investigated. Then the RWP mobility model is applied to cellular networks under both deterministic (hexagonal) and random (Poisson) Base Station (BS) models. The authors present novel closed-form expressions for both handover rate and sojourn time. These analytic results are compared through both analysis and simulation.
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