A Fast and Enhanced Ray Optical Propagation Model for Indoor and Urban Scenarios, Based on an Intelligent Preprocessing of the Database

| Ray-optical propagation models are often used for the prediction of the field strength (and delay spread) in wireless mobile communication networks. But these models suffer from long computation times. For large areas in urban or indoor scenarios the computation times are in the range of hours which is too long for the planning of mobile radio networks. A new method for the acceleration of ray-optical models is presented in this paper. It is based on a preprocessing of the database and leads to acceleration factors near 1000, reducing the computation time to a few seconds on PCs. The propagation model is implemented for urban and indoor scenarios and very accurate results are obtained with the model.

[1]  F. M. Landstorfer,et al.  Extensions to the field strength prediction technique based on dominant paths between transmitter and receiver in indoor wireless communications , 2000 .

[2]  Gerd Wölfle,et al.  Performance, Accuracy and Generalization Capability of Indoor Propagation Models in Different Types of Buildings , 2000 .

[3]  Andrew S. Glassner,et al.  An introduction to ray tracing , 1989 .

[4]  T. Huschka Ray tracing models for indoor environments and their computational complexity , 1994, 5th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Wireless Networks - Catching the Mobile Future..

[5]  Reinaldo A. Valenzuela,et al.  Lateral, full-3D and vertical plane propagation in microcells and small cells , 1998, VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151).

[6]  Roman Kuchkuda,et al.  An introduction to ray tracing , 1993, Comput. Graph..

[7]  A. J. Motley,et al.  Radio coverage in buildings , 1990 .

[8]  Theodore S. Rappaport,et al.  An advanced 3D ray launching method for wireless propagation prediction , 1997, 1997 IEEE 47th Vehicular Technology Conference. Technology in Motion.

[9]  F.M. Landstorfer,et al.  Field strength prediction in indoor environments with neural networks , 1997, 1997 IEEE 47th Vehicular Technology Conference. Technology in Motion.

[10]  T. Rappaport,et al.  A comparison of theoretical and empirical reflection coefficients for typical exterior wall surfaces in a mobile radio environment , 1996 .

[11]  F.M. Landstorfer,et al.  Intelligent ray tracing-a new approach for field strength prediction in microcells , 1997, 1997 IEEE 47th Vehicular Technology Conference. Technology in Motion.

[12]  S. S. Wang,et al.  Analysis of parameter sensitivity in a ray-tracing propagation environment , 1997, 1997 IEEE 47th Vehicular Technology Conference. Technology in Motion.