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User mobility in mobile radio networks strongly affects the performance of the whole system. Thus, it is of upmost importance to model mobility patterns as realistically as possible. Several publications w. r. t. individual (realistic) user movements have been made. However, especially in urban scenarios, user mobility is often correlated. In public transportation systems (metro, bus, etc.) the motion...
This demonstration shows several use cases of the Simulator for Mobile Networks (SiMoNe). It starts with a network planning and optimisation context for large-scale urban scenarios and hyper-dense small-cell deployments and comes to the evaluation of SON- and management functionality in aforementioned scenarios. Five different SON functions will be shown, namely MRO, MLB, LTE/GSM DSA, Wi-Fi/LTE TS...
This demonstrator visualises a new paradigm for the management of Self-Organising Networks (SON), and the impact of SON management decisions on a heterogeneous mobile radio network. The main aspects shown thereby cover the operability of the system from a network operator perspective, and the effects of different SON implementation options on the Key Performance Indicators (KPIs) of the network. In...
Self-Organising Network (SON) represent an approach to automate dedicated tasks for Operation, Administration and Maintenance (OAM) in mobile radio networks. With SON management, a multitude of simultaneously operating SON function closed control loops can be configured according to network context specific and weighted targets (objectives) for Key Performance Indicators (KPIs) by using different...
A Self-Organising Network (SON) represents an approach where the optimisation of a mobile radio network is automated through a set of independently operating SON functions. These SON functions, however, require to be configured in order to allow for an optimised network performance with respect to technical objectives defined by the network operator. The SEMAFOUR demonstrator shows a concept for SON...
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...
Today's networks become increasingly complex due to the presence of multiple radio access technologies (RATs) and various network layers. The introduction of Self-Organising Network (SON) Functions that continuously modify the network's operating point support the operator on dedicated network management tasks, but need to be configured themselves in order to allow for achieving objectives for the...
Today's cellular radio networks offer so many parameters that can be configured, that it is virtually impossible to configure such a system manually. To overcome this problem, operators and vendors put their trust in SON. But still, how can a SON function evaluate all potential parameter variations in short time and in a realistic manner in order to make the right decision? The herein presented Simulator...
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...
The demonstrator shows a self-management system for heterogeneous mobile wireless networks that uses context-specific and weighted Key Performance Indicator (KPI) target values defined by the operator to automatically and autonomously configure and control the operation of Self-Organising Network (SON) functions such that they contribute to achieving these KPI targets by appropriately optimising the...
This experience session track paper presents first findings and results of the simulator implementations, developed for the European funded FP7 SEMAFOUR project. First, the SEMAFOUR concept of Policy-bases SON Management (work package 5 - Integrated SON Management) is introduced, with a focus on those parts that have been implemented. Furthermore, the SON Functions that built the basis for the simulations...
The demonstrator shows a self-management system for heterogeneous mobile radio communication networks as developed in the European FP7 SEMAFOUR project. The self-management system uses operator-defined objectives regarding, e.g., network capacity, network load, or network robustness, to automatically configure and control the operation of Self-Organising Network (SON) Functions. The SON Functions...
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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