Title :
MIMO capacity scaling and saturation in correlated environments
Author :
Raghavan, Vasanthan ; Sayeed, Akbar M.
Author_Institution :
Wisconsin Univ., Madison, WI, USA
Abstract :
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.
Keywords :
MIMO systems; Monte Carlo methods; bandwidth allocation; channel capacity; correlation methods; linear antenna arrays; matrix algebra; MIMO capacity scaling; Monte-Carlo simulations; SNR; asymptotic capacity; capacity saturation; channel bandwidth; channel representation; closed form expression; correlated channel environment; correlated environments; degree of correlation; multiple input multiple output; physical scattering; random banded matrix theory; scattering paths; signal-to-noise ratio; virtual channel representation; Bandwidth; Geometry; Light scattering; MIMO; Mutual information; Power distribution; Random variables; Receiving antennas; Transmitters; Transmitting antennas;
Conference_Titel :
Communications, 2003. ICC '03. IEEE International Conference on
Print_ISBN :
0-7803-7802-4
DOI :
10.1109/ICC.2003.1203957