Quantized Constant Envelope Precoding With PSK and QAM Signaling

Hela Jedda; Amine Mezghani; A. Lee Swindlehurst; Josef A. Nossek

doi:10.1109/TWC.2018.2873386

Quantized Constant Envelope Precoding With PSK and QAM Signaling

Hela Jedda, Amine Mezghani, A. Lee Swindlehurst, Josef A. Nossek

Chair of Circuit Theory and Signal Processing (2008 — 2021)

Research output: Contribution to journal › Article › peer-review

84 Scopus citations

Abstract

Coarsely quantized massive multiple-input multiple-output (MIMO) systems are gaining more interest due to their power efficiency. We present a new precoding technique to mitigate the multi-user interference and the quantization distortions in a downlink multi-user MIMO system with coarsely quantized constant envelope (QCE) signals at the transmitter. The transmit signal vector is optimized for every desired received vector taking into account a relaxed version of the QCE constraint. The optimization is based on maximizing the safety margin to the decision thresholds of the receiver constellation modulation. Due to the linear property of the objective function and the constraints, the optimization problem is formulated as a linear programming problem. The simulation results show a significant gain in terms of the uncoded bit error rate compared to the existing precoding techniques.

Original language	English
Article number	8487043
Pages (from-to)	8022-8034
Number of pages	13
Journal	IEEE Transactions on Wireless Communications
Volume	17
Issue number	12
DOIs	https://doi.org/10.1109/TWC.2018.2873386
State	Published - Dec 2018

Keywords

Constant envelope
coarse quantization
constructive interference
downlink massive multi-user MIMO
precoding

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10.1109/TWC.2018.2873386

Cite this

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title = "Quantized Constant Envelope Precoding With PSK and QAM Signaling",

abstract = "Coarsely quantized massive multiple-input multiple-output (MIMO) systems are gaining more interest due to their power efficiency. We present a new precoding technique to mitigate the multi-user interference and the quantization distortions in a downlink multi-user MIMO system with coarsely quantized constant envelope (QCE) signals at the transmitter. The transmit signal vector is optimized for every desired received vector taking into account a relaxed version of the QCE constraint. The optimization is based on maximizing the safety margin to the decision thresholds of the receiver constellation modulation. Due to the linear property of the objective function and the constraints, the optimization problem is formulated as a linear programming problem. The simulation results show a significant gain in terms of the uncoded bit error rate compared to the existing precoding techniques.",

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AU - Mezghani, Amine

AU - Swindlehurst, A. Lee

AU - Nossek, Josef A.

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AB - Coarsely quantized massive multiple-input multiple-output (MIMO) systems are gaining more interest due to their power efficiency. We present a new precoding technique to mitigate the multi-user interference and the quantization distortions in a downlink multi-user MIMO system with coarsely quantized constant envelope (QCE) signals at the transmitter. The transmit signal vector is optimized for every desired received vector taking into account a relaxed version of the QCE constraint. The optimization is based on maximizing the safety margin to the decision thresholds of the receiver constellation modulation. Due to the linear property of the objective function and the constraints, the optimization problem is formulated as a linear programming problem. The simulation results show a significant gain in terms of the uncoded bit error rate compared to the existing precoding techniques.

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Quantized Constant Envelope Precoding With PSK and QAM Signaling

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