Penalty function-based precoding for downlink multiuser MIMO systems

Authors: Kun Wang, Xianda Zhang

Abstract:
In this paper, a novel linear precoding scheme is proposed for downlink multiuser multiple-input multiple-output (MIMO) systems. The new algorithm uses the penalty function method to mitigate the co-channel interference and is formulated as a convex problem with general linear constraints. The constraints can be sum power, per-antenna power or per-antenna-group power constraints, hence the new algorithm is general and can be used in both single-cell and fully cooperative multi-cell scenarios. Moreover, the famous block diagonalization (BD) precoding can be considered as a special case of our method when a very large penalty factor is used. We study the optimal solution of this convex problem and propose an iterative algorithm to obtain the optimum based on the Lagrange dual method. Simulation results show that the proposed method significantly outperforms the BD method at low and moderate SNR values in terms of the weighted sum rate.

Keywords:
Multiple-input multiple-output (MIMO)
Linear precoding
Penalty function
Co-channel interference mitigation
General linear constraints

Published in: AEÜ-International Journal of Electronics and Communications (Volume 67, Issue 2, February  2013)

Publisher: Elsevier

ISSN Information: 1434-8411

Penalty function-based precoding for downlink multiuser MIMO systems

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