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Self-Organising Network (SON) functions change parameters in the (mobile) network based on input and SON configuration parameters. However, it is still unclear how the behaviour of the SON function itself and the impact on the network changes by modifying the SON configuration parameters. The herein proposed SON function performance model (SFPM) shows how the impact on KPIs changes by varying SON...
3D ray-optical propagation modelling for small cells on different floors can be considered as state-of-the-art technique. Nevertheless, it is restricted to buildings for which 3D building data is available. In order to allow coverage predictions for small cell networks with high density, we propose a novel method of heuristically creating artificial 3D building plans based on 2D building contours...
The accuracy of ray-optical propagation modeling heavily depends on the quality of the used input data. Accurate input data leads to accurate propagation predictions. One of the biggest drawbacks in the area of small cell propagation is the lack of 3D building information on large scales. Therefore, a novel method of heuristically creating artificial 3D building plans based on 2D building contours...
Algorithms that depend on the simulation of individual users (e.g. SON handover optimisation) need a microscopic user mobility that fits to the chosen prediction model. Any improvement in the accuracy of pathloss predictions (e.g. from Extended Hata to ray-optical predictions with outdoor-to-indoor mapping), either in terms of spatial resolution or in terms of the underlying propagation model, needs...
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