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Linear precoding via conic optimization for fixed MIMO receivers

Wiesel, A., Eldar, Y.C., Shamai, S.·2006·IEEE Transactions on Signal Processing

Abstract

In this paper, the problem of designing linear precoders for fixed multiple-input-multiple-output (MIMO) receivers is considered. Two different design criteria are considered. In the first, the transmitted power is minimized subject to signal-to-interference-plus-noise-ratio (SINR) constraints. In the second, the worst case SINR is maximized subject to a power constraint. It is shown that both problems can be solved using standard conic optimization packages. In addition, conditions are developed for the optimal precoder for both of these problems, and two simple fixed-point iterations are proposed to find the solutions that satisfy these conditions. The relation to the well-known uplink-downlink duality in the context of joint transmit beamforming and power control is also explored. The proposed precoder design is general, and as a special case, it solves the transmit rank-one beamforming problem. Simulation results in a multiuser system show that the resulting precoders can significantly outperform existing linear precoders.

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Metadata

Authors
Wiesel, A., Eldar, Y. C., & Shamai, S.
Venue
IEEE Transactions on Signal Processing
Published
2006-01
Volume
54
Issue
1
Pages
161-176
ISSN
1053-587X (ISSN-L)
OpenAlex
W2109005286
Cited by
974
References
2
FWCI
26.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Linear precoding via conic optimization for fixed MIMO receivers. https://app.cochat.ai/papers/10.1109/tsp.2005.861073
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Wiesel, A., Eldar, Y. C., & Shamai, S. (2006). Linear precoding via conic optimization for fixed MIMO receivers. IEEE Transactions on Signal Processing. https://doi.org/10.1109/tsp.2005.861073

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