CSI Quantization for FDD Massive MIMO Communication

Roope Vehkalahti; Jialing Liao; Tefjol Pllaha; Wei Han; Olav Tirkkonen

doi:10.1109/VTC2021-Spring51267.2021.9449010

CSI Quantization for FDD Massive MIMO Communication

Roope Vehkalahti^*, Jialing Liao, Tefjol Pllaha, Wei Han, Olav Tirkkonen

^*Corresponding author for this work

Communications Theory

Huawei Technologies Co., Ltd.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

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Abstract

We consider high-dimensional multiuser MIMO transmissions in Frequency Division Duplexing systems. For precoding, the frequency selective channel has to be measured, quantized and fed back to the base station by the users. In
5G New Radio (NR), a modular quantization approach has been applied for this, where first a low-dimensional subspace is identified for the whole frequency selective channel, and then subband channels are linearly mapped to this subspace and quantized. We analyze how the components in such a modular
scheme contribute to the overall quantization distortion. Based on this analysis we improve the technology components in the modular approach. We compare the improved quantization scheme to the 5G NR standardized version by simulation in a scenario with a realistic spatial channel model. The improvements lead to a more than 25% improvement in spectral efficiency.

Original language	English
Title of host publication	Proceedings of 93rd IEEE Vehicular Technology Conference, VTC 2021
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	978-1-7281-8964-2
DOIs	https://doi.org/10.1109/VTC2021-Spring51267.2021.9449010
Publication status	Published - 15 Jun 2021
MoE publication type	A4 Article in a conference publication
Event	IEEE Vehicular Technology Conference - Helsinki, Finland Duration: 25 Apr 2021 → 28 Apr 2021 Conference number: 93

Publication series

Name	IEEE Vehicular Technology Conference
ISSN (Print)	1090-3038
ISSN (Electronic)	2577-2465

Conference

Conference	IEEE Vehicular Technology Conference
Abbreviated title	VTC-Spring
Country/Territory	Finland
City	Helsinki
Period	25/04/2021 → 28/04/2021

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10.1109/VTC2021-Spring51267.2021.9449010

Vehkalahti2021_PrecodingAccepted author manuscript, 271 KB

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Cite this

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title = "CSI Quantization for FDD Massive MIMO Communication",

abstract = "We consider high-dimensional multiuser MIMO transmissions in Frequency Division Duplexing systems. For precoding, the frequency selective channel has to be measured, quantized and fed back to the base station by the users. In5G New Radio (NR), a modular quantization approach has been applied for this, where first a low-dimensional subspace is identified for the whole frequency selective channel, and then subband channels are linearly mapped to this subspace and quantized. We analyze how the components in such a modularscheme contribute to the overall quantization distortion. Based on this analysis we improve the technology components in the modular approach. We compare the improved quantization scheme to the 5G NR standardized version by simulation in a scenario with a realistic spatial channel model. The improvements lead to a more than 25% improvement in spectral efficiency.",

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AU - Pllaha, Tefjol

AU - Han, Wei

AU - Tirkkonen, Olav

N1 - Conference code: 93

PY - 2021/6/15

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N2 - We consider high-dimensional multiuser MIMO transmissions in Frequency Division Duplexing systems. For precoding, the frequency selective channel has to be measured, quantized and fed back to the base station by the users. In5G New Radio (NR), a modular quantization approach has been applied for this, where first a low-dimensional subspace is identified for the whole frequency selective channel, and then subband channels are linearly mapped to this subspace and quantized. We analyze how the components in such a modularscheme contribute to the overall quantization distortion. Based on this analysis we improve the technology components in the modular approach. We compare the improved quantization scheme to the 5G NR standardized version by simulation in a scenario with a realistic spatial channel model. The improvements lead to a more than 25% improvement in spectral efficiency.

AB - We consider high-dimensional multiuser MIMO transmissions in Frequency Division Duplexing systems. For precoding, the frequency selective channel has to be measured, quantized and fed back to the base station by the users. In5G New Radio (NR), a modular quantization approach has been applied for this, where first a low-dimensional subspace is identified for the whole frequency selective channel, and then subband channels are linearly mapped to this subspace and quantized. We analyze how the components in such a modularscheme contribute to the overall quantization distortion. Based on this analysis we improve the technology components in the modular approach. We compare the improved quantization scheme to the 5G NR standardized version by simulation in a scenario with a realistic spatial channel model. The improvements lead to a more than 25% improvement in spectral efficiency.

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CSI Quantization for FDD Massive MIMO Communication

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Radio Network Optimization for Heterogeneous Machine Connectivity

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CSI Quantization for FDD Massive MIMO Communication

Abstract

Publication series

Conference

Access to Document

OpenUrl availability

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Fingerprint

Projects

Radio Network Optimization for Heterogeneous Machine Connectivity

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