TY - JOUR
T1 - On training optimization for estimation of correlated MIMO channels in the presence of multiuser interference
AU - Katselis, Dimitrios
AU - Kofidis, Eleftherios
AU - Theodoridis, Sergios
N1 - Funding Information:
Manuscript received July 27, 2007; revised April 27, 2008. First published June 24, 2008; current version published September 17, 2008. This work was supported by a grant of the Greek General Secretariat of Research and Technology (GSRT), under the programme ENE –2003. The associate editor co-ordinating the review of this manuscript and approving it for publication was Dr. Alper Tunga Erdogan.
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Beamforming
KW - Channel estimation
KW - Covariance feedback
KW - Flat fading
KW - Gauss-Markov (GM)
KW - Interference suppression
KW - Least squares (LS)
KW - Minimum mean squared error (MMSE)
KW - Multiple-input multiple-output (MIMO)
KW - Power allocation
KW - Training
KW - Water filling
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U2 - 10.1109/TSP.2008.927458
DO - 10.1109/TSP.2008.927458
M3 - Article
AN - SCOPUS:53149136713
SN - 1053-587X
VL - 56
SP - 4892
EP - 4904
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 10 I
ER -