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

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.

• Type: Journal
• Year: 2010
• Where: CORR
• Authors: Adam J. Tenenbaum, Raviraj S. Adve
• Keywords: CORR 2010, Education, Energy Allocation, Optimal Energy Allocations, Transceiver Designs