Plane-Wave and Vector-Rotation Approximation Technique for Reducing Computational Complexity to Simulate MIMO Propagation Channel Using Ray-Tracing

This paper proposes new techniques to simulate a MIMO propagation channel using the ray-tracing method for the purpose of decreasing the computational complexity. These techniques simulate a MIMO propagation channel by substituting the propagation path between a particular combination of transmitter and receiver antennas for all combinations of transmitter and receiver antennas. The estimation accuracy calculated using the proposed techniques is evaluated based on comparison to the results calculated using imaging algorithms. The results show that the proposed techniques simulate a MIMO propagation channel with low computational complexity, and a high level of estimation accuracy is achieved using the proposed Vector-Rotation Approximation technique compared to that for the imaging algorithm.

[1]  Angela Doufexi,et al.  Efficient Multielement Ray Tracing With Site-Specific Comparisons Using Measured MIMO Channel Data , 2007, IEEE Transactions on Vehicular Technology.

[2]  R. Kouyoumjian,et al.  A uniform geometrical theory of diffraction for an edge in a perfectly conducting surface , 1974 .

[3]  Prabhakar H. Pathak,et al.  Uniform Geometrical Theory of Diffraction , 1987 .

[4]  Satoshi Takahashi,et al.  Stochastic Method of Determining Substream Modulation Levels for MIMO Eigenbeam Space Division Multiplexing , 2006, IEICE Trans. Commun..

[5]  H. Bertoni,et al.  A new approach to 3-D ray tracing for propagation prediction in cities , 1998 .

[6]  Ieee Microwave Theory,et al.  Part 16: Air Interface for Fixed and Mobile Broadband Wireless Access Systems — Amendment for Physical and Medium Access Control Layers for Combined Fixed and Mobile Operation in Licensed Bands , 2003 .

[7]  Helmut Bölcskei,et al.  Outdoor MIMO wireless channels: models and performance prediction , 2002, IEEE Trans. Commun..

[8]  Thomas Zwick,et al.  A stochastic multipath channel model including path directions for indoor environments , 2002, IEEE J. Sel. Areas Commun..

[9]  Fujii Teruya,et al.  Fast algorithm for indoor microcell area prediction system using ray‐tracing method , 2002 .

[10]  Arno Formella,et al.  Efficient ray-tracing acceleration techniques for radio propagation modeling , 2000, IEEE Trans. Veh. Technol..

[11]  Toshihiko Nishimura,et al.  Performance Evaluation of 2 × 2 MIMO Space Division Multiplexing Based on Indoor Propagation Measurement , 2004 .

[12]  PROPAGATION DATA AND PREDICTION METHODS FOR THE PLANNING OF INDOOR RADIOCOMMUNICATION SYSTEMS AND RADIO LOCAL AREA NETWORKS IN THE FREQUENCY RANGE 900 MHz TO 100 GHz , 1997 .

[13]  Susana Loredo,et al.  Indoor MIMO Channel Modeling by Rigorous GO/UTD-Based Ray Tracing , 2008, IEEE Transactions on Vehicular Technology.

[14]  Tetsuro Imai.  Novel ray-tracing acceleration technique employing genetic algorithm for radio propagation prediction , 2006, 2006 First European Conference on Antennas and Propagation.

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

[16]  J. Takada,et al.  Cluster Properties Investigated From a Series of Ultrawideband Double Directional Propagation Measurements in Home Environments , 2006, IEEE Transactions on Antennas and Propagation.

[17]  Peter R Shepherd,et al.  Theoretic capacity evaluation of indoor micro- and macro-MIMO systems at 5 GHz using site specific ray tracing , 2003 .