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Energy optimization across training and data for multiuser minimum sum-MSE linear precoding

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2 Author(s)
Adam J. Tenenbaum ; Dept. of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Ontario, M5S 3G4, Canada ; Raviraj S. Adve

This paper considers minimum sum mean-squared error (sum-MSE) linear transceiver designs in multiuser downlink systems with imperfect channel state information. Specifically, we derive the optimal energy allocations for training and data phases for such a system. Under MMSE estimation of uncorrelated Rayleigh block fading channels with equal average powers, we prove the separability of the energy allocation and transceiver design optimization problems. A closed-form optimum energy allocation is derived and applied to existing transceiver designs. Analysis and simulation results demonstrate the improvements that can be realized with the proposed design.

Published in:

Information Sciences and Systems (CISS), 2010 44th Annual Conference on

Date of Conference:

17-19 March 2010