Ger manAerospace Center
Marrakech, March 13-15, 2006
Capacity Approximations forUncorrelated MIMO Channels Using Random Matrix Methods
Ingmar Groh, Simon Plass, and Stephan SandGerman Aerospace Center (DLR)
I.Groh: Capacity Approximations for Uncorrelated MIMO Channels Using Random Matrix Methods 2/8
Ger manAerospace Center
Outline of the Presentation
Short Summary of the DLR Contribution:Capacity Approximations for Uncorrelated MIMO Channels Using Random Matrix Methods
Further possible improvements concerning the MIMO Channel Capacity Approximations
Simulation Results for the proposed new Capacity Approximations
Outlook on possible other fields for applications of random matrix methods
I.Groh: Capacity Approximations for Uncorrelated MIMO Channels Using Random Matrix Methods 3/8
Ger manAerospace Center
Short Summary of the ISCCSP 2006 contribution
Methods for determining MIMO channel capacities
Assumption of infinitely large channel matrices
Good performance for low SNR values, performance degradation only for high SNR values
Channel capacity: Approximation values slightly smaller more helpful
Incorporation of Random Matrix principles for determining the Taylor series expansion point
I.Groh: Capacity Approximations for Uncorrelated MIMO Channels Using Random Matrix Methods 4/8
Ger manAerospace Center
Enhanced MIMO Channel Capacity Approximations
More precise estimate for the eigenvalues in
Exploitation of Random Matrix Theory to determine a good , too
New suggestion:
with a certain correction factor , and ,
I.Groh: Capacity Approximations for Uncorrelated MIMO Channels Using Random Matrix Methods 5/8
Ger manAerospace Center
A new approach for determining expansion points
Eigenvalue distribution , ,
I.Groh: Capacity Approximations for Uncorrelated MIMO Channels Using Random Matrix Methods 6/8
Ger manAerospace Center
Simulation Results I
Fixed number of Rx antennas
I.Groh: Capacity Approximations for Uncorrelated MIMO Channels Using Random Matrix Methods 7/8
Ger manAerospace Center
Simulation Results II
Fixed number of Rx antennas
I.Groh: Capacity Approximations for Uncorrelated MIMO Channels Using Random Matrix Methods 8/8
Ger manAerospace Center
Outlook on possible other fields for applications of random matrix methods
Improving MIMO Channel Estimation Methods (Channel Estimation using Correlations, Least Squares Channel Estimation, Iterative Channel Estimation)
Analysis of Conditional Mean Estimators for Gramian Matrices in the Context of Girko Estimators
Analysis of the power control for CDMA systems and other spread-spectrum systems
Asymptotic Analysis of Optimum Bit and Power Loading for MIMO BICM-OFDM Systems