On Training Optimization for Estimation of Correlated MIMO Channels in the Presence of Multiuser Interference

Authors:
D. Katselis;E. Kofidis;S. Theodoridis
Affiliations:
Dept. of Inf. & Telecommun., Athens Univ., Athens;-;-
Venue:
IEEE Transactions on Signal Processing - Part I
Year:
2008

Citing 0
Cited 4

Optimal training sequence for MIMO wireless systems in colored environments

IEEE Transactions on Signal Processing
Semi-blind maximum-likelihood joint channel/data estimation for correlated channels in multiuser MIMO networks

Signal Processing
A framework for training-based estimation in arbitrarily correlated Rician MIMO channels with Rician disturbance

IEEE Transactions on Signal Processing
Optimized training sequences for spatially correlated MIMO-OFDM

IEEE Transactions on Wireless Communications

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper, the problem of estimating multiple-input multiple-output (MIMO) channels in a realistic environment involving correlated channel fading and multiuser interference is considered. Four estimation schemes are studied, including the linear minimum mean squared error (LMMSE), least squares (LS), and Gauss-Markov (GM) estimators, as well as a novel scheme which is derived here as an alternative to LMMSE estimation. The MSE-optimal training sequences for each of them are provided and their requirements for side information feedback are assessed. The new scheme is shown to exhibit a performance comparable to or even better than LMMSE, at a significantly lower feedback and computational cost. The analytical comparison of the estimation schemes is supported by numerous simulation results that cover a wide range of antenna configurations, relative interference power, and channel correlation strengths. The results of this paper provide a complete picture for a palette of estimation schemes, with their relative performance and costs of training.