Analysis of One-Bit Quantized Precoding for the Multiuser Massive MIMO Downlink

Abstract : —We present a mathematical analysis of linear pre-coders for downlink massive MIMO multiuser systems that employ one-bit digital-to-analog converters at the basestation in order to reduce complexity and mitigate power usage. The analysis is based on the Bussgang theorem, and applies generally to any linear pre-coding scheme. We examine, in detail, the special case of the quan-tized zero-forcing (ZF) precoder, and derive a simple asymptotic expression for the resulting symbol error rate at each terminal. Our analysis illustrates that the performance of the quantized ZF pre-coder depends primarily on the ratio of the number of antennas to the number of users, and our simulations show that it achieves performance similar to a more complicated nonlinear least-squares encoder for low-to-moderate signal to noise ratios, where massive MIMO systems are presumed to operate. We also use the Bussgang theorem to derive a new linear precoder optimized for the case of one-bit quantization, and illustrate its improved performance.
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IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2017, 65 (17), pp.4624-4636. <10.1109/TSP.2017.2715006>
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Contributeur : Inbar Fijalkow <>
Soumis le : samedi 8 juillet 2017 - 20:15:55
Dernière modification le : lundi 17 juillet 2017 - 09:35:40

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A Saxena, Inbar Fijalkow, A Swindlehurst. Analysis of One-Bit Quantized Precoding for the Multiuser Massive MIMO Downlink. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2017, 65 (17), pp.4624-4636. <10.1109/TSP.2017.2715006>. <hal-01558617>

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