The Effect of Antenna Physics on Fading Correlation and the Capacity of Multielement Antenna Systems

In this paper, we investigate the effects of antenna directivity and antenna orientation on fading correlation and, therefore, the channel capacity in multiple-input-multiple-output communication systems by means of a spherical simulation model. The correlation is caused by the mutual interaction of the scattering environment and antenna elements. To study the effect of antenna directivity and orientations on the correlation and channel capacity in a more realistic environment, we extend the ldquoone-ringrdquo model to a spherical scattering environment, which is appropriate for narrowband 3D Rayleigh fading. In our model, scatterers around a subscriber unit are distributed over a sphere centered on the antenna array in the subscriber unit. Antenna directivity is included in a precise way, and the antenna array can be placed in any orientation. Any type of antenna can be studied in the model. Through simulation, we find that directive antenna elements in linear broadside arrays make the channel capacity more strongly directive than when antenna elements are isotropic. Moreover, different antenna patterns and orientations have different outage capacities depending on the interaction of antenna directivities and the incident waves, which shows that the antenna pattern and orientation affect the channel capacity to some extent. In the uniformly scatter-rich environment, the microstrip antenna array can have 10% higher outage capacity than that of the dipole antenna array.

[1]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[2]  A. James Distributions of Matrix Variates and Latent Roots Derived from Normal Samples , 1964 .

[3]  H. Ozcelik,et al.  Variation of measured indoor MIMO capacity with receive direction and position at 5.2 GHz , 2002 .

[4]  Peter F. Driessen,et al.  On the capacity formula for multiple input-multiple output wireless channels: a geometric interpretationd , 1999, IEEE Trans. Commun..

[5]  R. Collin Antenna theory , 1969 .

[6]  Reinaldo A. Valenzuela,et al.  Initial estimation of communication efficiency of indoor wireless channels , 1997, Wirel. Networks.

[7]  T. Aulin A modified model for the fading signal at a mobile radio channel , 1979, IEEE Transactions on Vehicular Technology.

[8]  I. Emre Telatar,et al.  Capacity and mutual information of broadband multipath fading channels , 1998, Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252).

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

[10]  Claude Oestges,et al.  Propagation modeling of MIMO multipolarized fixed wireless channels , 2004, IEEE Transactions on Vehicular Technology.

[11]  Joseph M. Kahn,et al.  Fading correlation and its effect on the capacity of multielement antenna systems , 2000, IEEE Trans. Commun..

[12]  I. M. Jacobs,et al.  Principles of Communication Engineering , 1965 .

[13]  Michael P. Fitz,et al.  A 3-D spatio-temporal simulation model for wireless channels , 2002, IEEE J. Sel. Areas Commun..

[14]  Donald C. Cox,et al.  Effect of antenna polarization on the capacity of a multiple element system in an indoor environment , 2002, IEEE J. Sel. Areas Commun..

[15]  Fambirai Takawira,et al.  Spatially and temporally correlated MIMO channels: modeling and capacity analysis , 2004, IEEE Transactions on Vehicular Technology.

[16]  J. Andersen,et al.  Diffuse channel model and experimental results for array antennas in mobile environments , 1998 .

[17]  Ali Abdi,et al.  A space-time correlation model for multielement antenna systems in mobile fading channels , 2002, IEEE J. Sel. Areas Commun..

[18]  Moe Z. Win,et al.  On the capacity of spatially correlated MIMO Rayleigh-fading channels , 2003, IEEE Trans. Inf. Theory.

[19]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[20]  Lasse Vuokko,et al.  Comparison of MIMO antenna configurations in picocell and microcell environments , 2003, IEEE J. Sel. Areas Commun..

[21]  Xiongwen Zhao,et al.  Characterization of Doppler spectra for mobile communications at 5.3 GHz , 2003, IEEE Trans. Veh. Technol..

[22]  D. J. Crowther,et al.  On the distribution of a generalised positive semidefinite quadratic form of normal vectors , 1973 .

[23]  Donald C. Cox,et al.  Correlation analysis based on MIMO channel measurements in an indoor environment , 2003, IEEE J. Sel. Areas Commun..

[24]  Peter F. Driessen,et al.  On the capacity formula for multiple input-multiple output wireless channels: a geometric interpretation , 1999, 1999 IEEE International Conference on Communications (Cat. No. 99CH36311).

[25]  J. D. Parsons,et al.  Characterisation of mobile radio signals: model description , 1991 .

[26]  Chen-Nee Chuah,et al.  Capacity of multi-antenna array systems in indoor wireless environment , 1998, IEEE GLOBECOM 1998 (Cat. NO. 98CH36250).

[27]  W.C.-Y. Lee Effects on Correlation Between Two Mobile Radio Base-Station Antennas , 1973, IEEE Trans. Commun..

[28]  C. Khatri On Certain Distribution Problems Based on Positive Definite Quadratic Functions in Normal Vectors , 1966 .

[29]  Reiner S. Thomä,et al.  Capacity of MIMO systems based on measured wireless channels , 2002, IEEE J. Sel. Areas Commun..

[30]  Richard D. Gitlin,et al.  The impact of antenna diversity on the capacity of wireless communication systems , 1994, IEEE Trans. Commun..