Spatial radio channel modeling for the design of new generation mobile communication systems

The market for broadband wireless communication systems has been growing enormously in the last years. Designing digital communication systems requires dedicated simulation approaches with an emphasis on the multipath propagation channel including directions of transmission and arrival. In this paper a stochastic channel model for the indoor propagation channel including path directions is presented. For the correct consideration of correlation in time and space the model is based on a stochastic process. Propagation paths appear, remain for a certain time-span, and finally disappear. The probability density functions and their parameters used to generate the properties of the propagation paths are determined from deterministic ray-tracing results. Additionally some first simulation results to demonstrate the function of the model and the potential of directive antenna systems in indoor environments are presented.

[1]  Hisato Iwai,et al.  Wideband Propagation Model for the Analysis of the Effect of the Multipath Fading on the Near-Far Problem in CDMA Mobile Radio Systems (Special Issue on Land Mobile/Portable Propagation) , 1993 .

[2]  Thomas Zwick,et al.  A statistical channel model for indoor environments including angle of arrival , 1998, VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151).

[3]  S. Seidel,et al.  914 MHz path loss prediction models for indoor wireless communications in multifloored buildings , 1992 .

[4]  A.A.M. Saleh,et al.  A Statistical Model for Indoor Multipath Propagation , 1987, IEEE J. Sel. Areas Commun..

[5]  T. Zwick,et al.  Comparison of channel impulse response measurements and calculations in indoor environments , 1996, IEEE Antennas and Propagation Society International Symposium. 1996 Digest.

[6]  Michael A. Jensen,et al.  A statistical model for angle of arrival in indoor multipath propagation , 1997, 1997 IEEE 47th Vehicular Technology Conference. Technology in Motion.

[7]  Bernard Henri Fleury,et al.  Stochastic radio channel model for advanced indoor mobile communication systems , 1997, Proceedings of 8th International Symposium on Personal, Indoor and Mobile Radio Communications - PIMRC '97.

[8]  Theodore S. Rappaport,et al.  Statistical channel impulse response models for factory and open plan building radio communicate system design , 1991, IEEE Trans. Commun..

[9]  Patrick Claus F. Eggers.  Angular dispersive mobile radio environments sensed by highly directive base station antennas , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.

[10]  Thomas Zwick,et al.  A stochastic spatial channel model based on wave-propagation modeling , 2000, IEEE Journal on Selected Areas in Communications.

[11]  G. Thiele,et al.  Antenna theory and design , 1981 .