RLS Precoding for Massive MIMO Systems with Nonlinear Front-End

Bereyhi A, Asaad S, Müller R, Chatzinotas S (2019)


Publication Type: Conference contribution

Publication year: 2019

Publisher: Institute of Electrical and Electronics Engineers Inc.

Book Volume: 2019-July

Conference Proceedings Title: IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Event location: Cannes FR

ISBN: 9781538665282

DOI: 10.1109/SPAWC.2019.8815392

Abstract

To keep massive MIMO systems cost-efficient, power amplifiers with rather small output dynamic ranges are employed. They may distort the transmit signal and degrade the performance. This paper proposes a distortion aware precoding scheme for realistic scenarios in which RF chains have nonlinear characteristics. The proposed scheme utilizes the method of regularized least-squares (RLS) to jointly compensate the channel impacts and the distortion imposed by the RF chains. To construct the designed transmit waveform with low computational complexity, an iterative algorithm based on approximate message passing is developed. This algorithm is shown to track the achievable average signal distortion of the proposed scheme tightly, even for practical system dimensions. The results demonstrate considerable enhancement compared to the state of the art.

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How to cite

APA:

Bereyhi, A., Asaad, S., Müller, R., & Chatzinotas, S. (2019). RLS Precoding for Massive MIMO Systems with Nonlinear Front-End. In IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC. Cannes, FR: Institute of Electrical and Electronics Engineers Inc..

MLA:

Bereyhi, Ali, et al. "RLS Precoding for Massive MIMO Systems with Nonlinear Front-End." Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019, Cannes Institute of Electrical and Electronics Engineers Inc., 2019.

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