Exact capacity distributions for MIMO systems with small numbers of antennas
- 20 October 2003
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Communications Letters
- Vol. 7 (10), 481-483
- https://doi.org/10.1109/LCOMM.2003.817318
Abstract
It is well known that multiple input multiple output (MIMO) systems offer the promise of achieving very high spectrum efficiencies (many tens of bit/s/Hz) in a mobile environment. The gains in MIMO capacity are sensitive to the presence of spatial correlation introduced by the radio environment. In this letter we consider the capacity outage performance of MIMO systems in correlated environments. For systems with large numbers of antennas Gaussian approximations are very accurate. Hence, we concentrate on systems with small numbers of antennas and derive exact densities and distribution functions for the capacity, which are simple and rapid to compute.Keywords
This publication has 11 references indexed in Scilit:
- On the capacity of spatially correlated mimo rayleigh-fading channelsIEEE Transactions on Information Theory, 2003
- On a Gaussian approximation to the capacity of wireless MIMO systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Wideband 3D characterization of mobile radio channels in urban environmentIEEE Transactions on Antennas and Propagation, 2002
- Capacity scaling in MIMO wireless systems under correlated fadingIEEE Transactions on Information Theory, 2002
- A Determinant Representation for the Distribution of Quadratic Forms in Complex Normal VectorsJournal of Multivariate Analysis, 2000
- Fading correlation and its effect on the capacity of multielement antenna systemsIEEE Transactions on Communications, 2000
- Capacity of Multi‐antenna Gaussian ChannelsEuropean Transactions on Telecommunications, 1999
- On Limits of Wireless Communications in a Fading Environment when Using Multiple AntennasWireless Personal Communications, 1998
- Statistical Properties of the Generalized Inverse Gaussian DistributionLecture Notes in Statistics, 1982
- Distributions of Matrix Variates and Latent Roots Derived from Normal SamplesThe Annals of Mathematical Statistics, 1964