MIMO capacity scaling and saturation in correlated environments

The capacity of MIMO systems under ideal (i.i.d.) channel conditions has been shown to increase linearly with the number of antennas. Capacity scaling in a correlated channel environment as well but the constant of scaling is shown in Chee-Nee Chuah, D.N. C. Tse, J.M. Khan, R.A. Valanzuela [2002] to be less than that of the i.i.d. scaling factor. Using a channel representation motivated by physical scattering considerations, the virtual channel representation, we show this effect does occur provided the number of effective scattering paths keeps asymptotically increasing with the increase in the number of antennas. Otherwise we show that saturation of capacity occurs. Using random banded matrix theory results, we also show that the effect of correlation is to reduce the effective received SNR according to the degree of correlation. This also yields a closed form expression for the asymptotic capacity of correlated MIMO channels.

[1]  A.J. Paulraj,et al.  Space-time processing for wireless communications , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[2]  Izrailev,et al.  Scaling properties of band random matrices. , 1990, Physical review letters.

[3]  Aris L. Moustakas,et al.  MIMO capacity through correlated channels in the presence of correlated interferers and noise: a (not so) large N analysis , 2003, IEEE Trans. Inf. Theory.

[4]  Lewenstein,et al.  Density of eigenvalues of random band matrices. , 1991, Physical review. A, Atomic, molecular, and optical physics.

[5]  Camarda Hs Statistical behavior of eigenvalues of real-symmetric and complex-Hermitian band matrices: Comparison with random-matrix theory. , 1992 .

[6]  A. Sayeed,et al.  Capacity and spectral efficiency in wideband correlated mimo channels , 2003, IEEE International Symposium on Information Theory, 2003. Proceedings..

[7]  Gerard J. Foschini,et al.  Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas , 1996, Bell Labs Technical Journal.

[8]  John M. Cioffi,et al.  Spatio-temporal coding for wireless communication , 1998, IEEE Trans. Commun..

[9]  Akbar M. Sayeed,et al.  Deconstructing multiantenna fading channels , 2002, IEEE Trans. Signal Process..

[10]  ChannelsAkbar M. Sayeed Deconstructing Multi-Antenna Fading , 2002 .

[11]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[12]  J. W. Silverstein Strong convergence of the empirical distribution of eigenvalues of large dimensional random matrices , 1995 .

[13]  J. W. Silverstein,et al.  Spectral Analysis of Networks with Random Topologies , 1977 .

[14]  Chen-Nee Chuah,et al.  Capacity scaling in MIMO Wireless systems under correlated fading , 2002, IEEE Trans. Inf. Theory.

[15]  S. Thorbjørnsen,et al.  Random matrices with complex Gaussian entries , 2003 .

[16]  Dan Popescu,et al.  Information capacity of a random signature multiple-input multiple-output channel , 2000, IEEE Trans. Commun..