Field Strength Prediction

Munich Munich model in 2.5D

Land use classes Prediction with DiLaP

For development, planning, analysis, and optimization of modern radio networks field strength prediction plays an essential role. There are a lot of diverse prediction methods available which need to be chosen carefully according to the different requirements on the investigated problems. Our research areas Semi-stochastic MIMO channel models, Network planning, and Self-Organizing Networks(SON) all benefit from environment aware predictions. We have developed field strength prediction for both urban and rural environments. The first takes 2.5D building data into account, i.e., the buildings are given as polygons with height information disregarding the roof shape. The latter takes land use classes into account which may be calculated from satellite pictures, see pattern recognition for RWP.

Cause of the magnitude of predictions needed for planning purposes we have laid special emphasis on fast calculations by applying smart algorithms and using parallel processing architectures. Modern mobile systems demand for more detailed field strength prediction, e.g., multi-path information. Utilizing parallel hardware allows for getting this computational intensive information in reasonable time.

Related research topics and publications

Urban Field Strength Prediction

F. Schröder, M. Reyer, R. Mathar, Field Strength Prediction for Environment Aware MIMO Channel Models, Proceedings: 6th European Conference on Antennas and Propagation (EUCAP), Prague, Czech, March 2012.
F. Schröder, M. Reyer, R. Mathar, Efficient Implementation and Evaluation of Parallel Radio Wave Propagation, Proceedings: EuCAP 2011 - 5th European Conference on Antennas and Propagation, EUR Congressi in Rome, Italy, April 2011.
F. Schröder, M. Reyer, R. Mathar, Fast Radio Wave Propagation Prediction by Heterogeneous Parallel Architectures with Incoherent Memory, Proceedings: Proceedings of Wave Propagation and Scattering in Communication, Microwave Systems and Navigation, TU Chemnitz, December 2010.
R. Mathar, M. Reyer, M. Schmeink, A Cube Oriented Ray Launching Algorithm for 3D Urban Field Strength Prediction, Proceedings: IEEE ICC 2007, Glasgow, June 2007.
T. Rick, R. Mathar, Fast Edge-Diffraction-Based Radio Wave Propagation Model for Graphics Hardware, Proceedings: ITG INICA, Munich, March 2007.
D. Catrein, M. Reyer, T. Rick, Accelerating Radio Wave Propagation Predictions by Implementation on Graphics Hardware, Proceedings: IEEE VTC, Dublin, 2007.
M. Reyer, T. Rick, R. Mathar, Graphics Hardware Accelerated Field Strength Prediction for Rural and Urban Environments, Proceedings: IEEE EuCAP'07 , Edinburgh, UK, 2007.
M. Reyer, T. Rick, R. Mathar, Hardware Acceleration Techniques for 3D Urban Field Strength Prediction, Proceedings: ITG WFMN'07, Chemnitz, Germany , 2007.
M. Schmeink, R. Mathar, Preprocessed indirect 3D-ray launching for urban microcell field strength prediction, Proceedings: AP 2000 Millennium Conference on Antennas and Propagation, Davos, April 2000.

Rural Field Strength Prediction

M. Neunerdt, A. Engels, R. Mathar, Land Use Classification as a Key Component for Path Loss Prediction in Rural Areas, Proceedings: 7th International Symposium on Wireless Communication Systems (IEEE ISWCS), York, United Kingdom, September 2010.
A. Engels, M. Reyer, R. Mathar, A Direction-Specific Land Use Based Path Loss Model for Suburban/Rural Areas, Proceedings: IEEE AP-S/URSI International Symposium 2010, Toronto, Ontario, Canada, July 2010.
M. Reyer, T. Rick, R. Mathar, Graphics Hardware Accelerated Field Strength Prediction for Rural and Urban Environments, Proceedings: IEEE EuCAP'07 , Edinburgh, UK, 2007.

Related projects

Realitätsnahe Feldstärkeprädiktion und Mobilitätsmodelle in der Verkehrstelematik, see Project list
Semi-stochastic MIMO channel model
Network planning
Self-Organizing Networks(SON)

Related student work

Bachelor thesis Leistungsbewertung von Feldstärkeprädiktion auf parallelen Architekturen -- Vergleich von cone- und ray-tracing.
Diploma Thesis Konzepte zur effizienten Umsetzung von Algorithmen für die IBM Cell-Architektur - Anwendung auf Verfahren der Feldstärkeprädiktion im Mobilfunk
Student research project Entwicklung und Verifikation von Wellenausbreitungsmodellen in ländlichen Gebieten für GSM1800
Diploma Thesis Entwicklung und Implementierung paralleler Algorithmen auf Grafikkarten zur Feldstärkeprädiktion im Mobilfunk
A lot of student assistants produced code supporting field strength prediction.

Contact

For further information contact