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CORR
2010
Springer

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

9 years 6 days ago
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.
Adam J. Tenenbaum, Raviraj S. Adve
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2010
Where CORR
Authors Adam J. Tenenbaum, Raviraj S. Adve
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