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In this paper, a realistic urban scenario for a hyper-dense small-cell network deployment is presented, using full 3D building models and 3D ray-optical pathloss predictions. This network is compared to a similarly dimensioned 3GPP-like deployment, in order to emphasize the correlations and the differences between these two environments. Furthermore, different expansion stages of the small-cell deployments...
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...
The increasing complexity in today's mobile networks enforces the need for more sophisticated and more realistic simulation scenarios. It is a pre-requisite to cope with the effects in real heterogeneous networks in order to allow the exploitation of their inherent heterogeneity. This paper describes the first version of a common "ready-to-use" simulation environment in the city of Hannover:...
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...
Communication systems operating in indoor environments and at frequencies from 60 GHz up to the THz range may suffer severely from dynamic human blockage. Previous studies have shown the influence of a single person on a single (static) link. In this paper, a model for the prediction of a time-variant scenario for a simple conference room with a group of persons is presented. The presented model is...
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 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...
An analytical 3D ray-launching method using arbitrary polygonal shapes for wireless propagation prediction is introduced within this document. The algorithm is significantly advanced compared to other ray-launching techniques, since the actual ray-casting methodology is based on vertices of the geographical data and not on a brute-force manner which most often leads into irrelevant directions in space...
This document describes an approach to calculate realistic spatial user and traffic distributions for cellular networks with time varying usage intensities per land-use class. The distributions account for the common human behaviour for different times of the day and different days of the week. In combination with the coverage area of the cell as well as the land-use classes in the respective area,...
In this paper, a physical (PHY) layer performance comparison for 3GPP Long Term Evolution (LTE) and IEEE 802.11p in a realistic urban street intersection scenario is presented. For this approach standard compliant link level simulation tools in combination with ray-optical channel modeling are utilized. Results are analyzed with respect to an intersection collision warning application where a suitable...
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...
There is a need to characterize the radio channel for vehicular communication systems including the derivation of adequate channel models for specific traffic situations. Deterministic channel modeling approaches like ray tracing may become of greater interest since they take the individual characteristics of the environment into account and help reveal the most relevant radio propagation phenomena...
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...
Femto cells in LTE are attracting more and more attention since they are expected to provide substantial indoor network coverage. In contrast, the interference level on the outside increases with every new indoor base station, so that it is crucial to gain in-depth knowledge of the propagation phenomena from indoor to outdoor environments. Therefore, an exhaustive measurement campaign has been carried...
Mobile operators are facing capacity problems due to the rising demand for data services, particularly in indoor environments. In order to ensure high data rates, femto cells will be part of the solution. Since they are operated by the customers, the influence of a network operator on the installation location is limited. Thus, femto cells have to be taken into account in future network and handover...
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