Experimental Analysis and Site-Specific Modeling of Channel Parameters at Mobile Station in an Urban Macrocellular Environment

SUMMARY This paper experimentally studies and models the angulardelay power spectrum density at the mobile station based on the sitespecific measurement in a macrocell in urban area of Tokyo. The authors first show the azimuth power spectral density at the mobile station. It is decomposed into the “classes” which represent specific contributions within limited azimuth range, as well as the residual. The site-specific propagation mechanism of the classes are next discussed. Finally, the angular-delay PSD models of both classes and residual are proposed and verified. The analysis and modeling in this paper are antenna independent with the full polarimetric information. Consequently, the results are useful to evaluate the performance of arbitrary array antennas with mixed polarization. Due to the rare number of antenna-independent and full-polarimetric measurements, the significant contribution of the angular-delay PSD channel model

[1]  Xuefeng Yin,et al.  Cluster Angular Spreads in a MIMO Indoor Propagation Environment , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[2]  Jun-ichi Takada,et al.  B-1-38 Identification of Far Clusters in an Urban Residential Macrocellular Environment , 2006 .

[3]  Christian Schneider,et al.  Measurement-Based Performance Evaluation of Advanced MIMO Transceiver Designs , 2005, EURASIP J. Adv. Signal Process..

[4]  T. Fujii,et al.  Time-spatial path modeling for wideband mobile propagation , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[5]  E. Bonek,et al.  Directional macro-cell channel characterization from urban measurements , 2000 .

[6]  H. Omote,et al.  Time-space path modeling for wideband mobile propagation , 2002, IEEE Antennas and Propagation Society International Symposium (IEEE Cat. No.02CH37313).

[7]  Tetsuro Imai,et al.  Statistical scattering model in urban propagation environment , 2006, IEEE Transactions on Vehicular Technology.

[8]  Klaus I. Pedersen,et al.  Power azimuth spectrum in outdoor environments , 1997 .

[9]  Jun-ichi Takada,et al.  Multipath performance of handset adaptive array antennas in the vicinity of a human operator , 2005, IEEE Transactions on Antennas and Propagation.

[10]  Ali Abdi,et al.  A parametric model for the distribution of the angle of arrival and the associated correlation function and power spectrum at the mobile station , 2002, IEEE Trans. Veh. Technol..

[11]  Takada Jun-ichi,et al.  Full polarimetric 3-D double directional channel measurement in a NLOS macrocellular environment , 2005 .

[12]  T. Taga,et al.  Analysis for mean effective gain of mobile antennas in land mobile radio environments , 1990 .

[13]  Yoshio Karasawa,et al.  Theoretical Analysis on the Performance of Optimal Combining for Multipath Waves Distributed in Spatial and Time Domains , 1998 .

[14]  Chia-Chin Chong,et al.  A novel wideband dynamic directional indoor channel model based on a Markov process , 2005, IEEE Transactions on Wireless Communications.

[15]  Andreas F. Molisch,et al.  The double-directional radio channel , 2001 .

[16]  J.W. Mark,et al.  On Polarization Diversity in Mobile Communications , 2006, 2006 International Conference on Communication Technology.

[17]  Outi Kivekäs,et al.  Angular power distribution and mean effective gain of mobile antenna in different propagation environments , 2002, IEEE Trans. Veh. Technol..