Low-complexity MIMO precoding with discrete signals and statistical CSI

Wu Y, Wen CK, Wing Kwan Ng D, Schober R, Lozano A (2016)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2016

Event location: Kuala Lumpur MY

ISBN: 978-1-4799-6664-6

DOI: 10.1109/ICC.2016.7510761

Abstract

In this paper, we investigate the design of multiple-input multiple-output single-user precoders for finite-alphabet signals under the premise of statistical channel-state information at the transmitter. Based on an asymptotic expression for the mutual information of channels exhibiting antenna correlations, we propose a low-complexity iterative algorithm that radically reduces the computational load of existing approaches by orders of magnitude with only minimal losses in performance. The complexity savings increase with the number of transmit antennas and with the cardinality of the signal alphabet, making it possible to support values thereof that were unwieldy in existing solutions.

Authors with CRIS profile

Yongpeng Wu Lehrstuhl für Digitale Übertragung Robert Schober Lehrstuhl für Digitale Übertragung

Involved external institutions

University of New South Wales (UNSW) AU Australia (AU) National Sun Yat-sen University TW Taiwan (TW) Universitat Pompeu Fabra (UPF) ES Spain (ES)

How to cite

APA:

Wu, Y., Wen, C.-K., Wing Kwan Ng, D., Schober, R., & Lozano, A. (2016). Low-complexity MIMO precoding with discrete signals and statistical CSI. In IEEE (Eds.), Proceedings of the 2016 IEEE International Conference on Communications (ICC). Kuala Lumpur, MY.

MLA:

Wu, Yongpeng, et al. "Low-complexity MIMO precoding with discrete signals and statistical CSI." Proceedings of the 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur Ed. IEEE, 2016.

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