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Published July 2008 | Submitted + Published
Journal Article Open

On Optimum Power Allocation for the V-BLAST

Abstract

A unified analytical framework for optimum power allocation in the unordered V-BLAST algorithm and its comparative performance analysis are presented. Compact closed-form approximations for the optimum power allocation are derived, based on average total and block error rates. The choice of the criterion has little impact on the power allocation and, overall, the optimum strategy is to allocate more power to lower step transmitters and less to higher ones. High-SNR approximations for optimized average block and total error rates are given. The SNR gain of optimization is rigorously defined and studied using analytical tools, including lower and upper bounds, high and low SNR approximations. The gain is upper bounded by the number of transmit antennas, for any modulation format and type of fading channel. While the average optimization is less complex than the instantaneous one, its performance is almost as good at high SNR. A measure of robustness of the optimized algorithm is introduced and evaluated. The optimized algorithm is shown to be robust to perturbations in individual and total transmit powers. Based on the algorithm robustness, a pre-set power allocation is suggested as a low-complexity alternative to the other optimization strategies, which exhibits only a minor loss in performance over the practical SNR range.

Additional Information

© 2008 IEEE. Date of Current Version: 13 June 2008. Manuscript received September 15, 2006; revised January 10, 2007. This work was supported in part by the Natural Sciences and Engineering Research Council of Canada. The paper was presented in part at the IEEE International Zurich Seminar on Communications, February 2006, ETH Zurich, Switzerland, at the 23rd Biennial Symposium on Communications, Kingston, Canada, May 2006, and at the IEEE GlobeCom, Washington, USA, November 2007. The authors would like to thank F. Gagnon for numerous stimulating discussions.

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Published - 04542755.pdf

Submitted - 0705.1340.pdf

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Additional details

Created:
August 19, 2023
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October 17, 2023