Partial reciprocity-based precoding matrix prediction in FDD massive MIMO with mobility

Fuente: arXiv
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Hauptverfasser: Qin, Ziao, Yin, Haifan
Format: Preprint
Veröffentlicht: 2024
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author Qin, Ziao
Yin, Haifan
author_facet Qin, Ziao
Yin, Haifan
contents The timely precoding of frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems is a substantial challenge in practice, especially in mobile environments. In order to improve the precoding performance and reduce the precoding complexity, we propose a partial reciprocity-based precoding matrix prediction scheme and further reduce its complexity by exploiting the channel gram matrix. We prove that the precoders can be predicted through a closed-form eigenvector interpolation which was based on the periodic eigenvector samples. Numerical results validate the performance improvements of our schemes over the conventional schemes from 30 km/h to 500 km/h of moving speed.
format Preprint
id arxiv_https___arxiv_org_abs_2410_04475
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Partial reciprocity-based precoding matrix prediction in FDD massive MIMO with mobility
Qin, Ziao
Yin, Haifan
Information Theory
Signal Processing
The timely precoding of frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems is a substantial challenge in practice, especially in mobile environments. In order to improve the precoding performance and reduce the precoding complexity, we propose a partial reciprocity-based precoding matrix prediction scheme and further reduce its complexity by exploiting the channel gram matrix. We prove that the precoders can be predicted through a closed-form eigenvector interpolation which was based on the periodic eigenvector samples. Numerical results validate the performance improvements of our schemes over the conventional schemes from 30 km/h to 500 km/h of moving speed.
title Partial reciprocity-based precoding matrix prediction in FDD massive MIMO with mobility
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2410.04475