Verification of 3D Ray-tracing with Non-Directional and Directional Measurements in Urban Macrocellular Environments

3D ray-tracing has meanwhile advanced to a performance that it can provide channel parameters such as delay spread, Doppler spread, angular spread, distribution functions of long- and short-term fading with high accuracy for fixed to mobile and mobile to mobile communications. These parameters are absolutely required during the specification phase in order to define the air interface and a variety of other relevant system parameters. This paper shows state of the art 3D ray-tracing capabilities. The 3D ray-tracing model developed at the University of Karlsruhe is described and verified with wide-band non-directional and directional measurements at 2 GHz and 5.2 GHz respectively, showing a good agreement. The proposed 3D ray-tracing model can therefore be used in order to extract parameter sets for the specification of future mobile communications systems and to optimize existing ones

[1]  W. Wiesbeck,et al.  A novel approach in the determination of visible surfaces in 3D vector geometries for ray-optical wave propagation modelling , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).

[2]  C. Balanis.  Advanced Engineering Electromagnetics , 1989 .

[3]  Rodney G. Vaughan,et al.  Channels, Propagation and Antennas for Mobile Communications , 2003 .

[4]  William C. Y. Lee,et al.  Mobile Communications Engineering , 1982 .

[5]  Gerd Sommerkorn,et al.  MIMO vector channel sounder measurement for smart antenna system evaluation , 2001, Eur. Trans. Telecommun..

[6]  D. Didascalou.  Ray-optical wave propagation modelling in arbitrarily shaped tunnels [online] , 2000 .

[7]  P. Azzi,et al.  An advanced field prediction model including diffuse scattering , 2004, IEEE Transactions on Antennas and Propagation.

[8]  G. Deschamps,et al.  Ray techniques in electromagnetics , 1972 .

[9]  G. Sommerkorn,et al.  Multidimensional high-resolution channel sounding in mobile radio , 2004, Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510).

[10]  D. Hampicke,et al.  Identification of time-variant directional mobile radio channels , 1999, IMTC/99. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (Cat. No.99CH36309).

[11]  Raymond J. Luebbers.  Comparison of lossy wedge diffraction coefficients with application to mixed path propagation loss prediction , 1988 .

[12]  Luis M. Correia.  Wireless flexible personalised communications : COST 259 : European co-operation in mobile radio research , 2001 .

[13]  Jesus Perez,et al.  Efficient ray-tracing techniques for three-dimensional analyses of propagation in mobile communications: application to picocell and microcell scenarios , 1998 .

[14]  van Gaj Gerry Dooren,et al.  A deterministic approach to the modelling of electromagnetic wave propagation in urban environments , 1994 .