The network management of heterogeneous mobile networks relies on a profound network topology. This includes a realistic network deployment and realistic pathloss predictions to account for the irregularities in the network. To derive relevant key performance indicators in such networks, mobility models are needed that account for individual user movements in the network and produce user individual performance indicators, e.g. handover events. A multitude of mobility models are known that are supposed to address the different characteristics of human movement patterns and behaviours of certain user groups, such as vehicular, indoor or pedestrian users. To approach the latter one, a new pedestrian mobility model based on real geographical data is presented in this document.
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