Energy Optimization across Training and Data for Multiuser Minimum Sum-MSE Linear Precoding

Details Energy Optimization across Training and Data for Multiuser Minimum Sum-MSE Linear Precoding Energy Optimization across Training and Data for Multiuser Minimum Sum-MSE Linear Precoding

2010-01-18

arxiv.org/abs/1001.3118v1

Computer Science

Information Theory

Submitted to CISS 2010(6 pages, 4 figures). Uses IEEEtran.cls V1.7a

Scientific paper

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.

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