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

^*Tämän työn vastaava kirjoittaja

Communications Theory

Huawei Technologies Co., Ltd.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

1 Sitaatiot (Scopus)

112 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	Proceedings of 93rd IEEE Vehicular Technology Conference, VTC 2021
Kustantaja	IEEE
Sivumäärä	5
ISBN (elektroninen)	978-1-7281-8964-2
DOI - pysyväislinkit	https://doi.org/10.1109/VTC2021-Spring51267.2021.9449010
Tila	Julkaistu - 15 kesäk. 2021
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	IEEE Vehicular Technology Conference - Helsinki, Suomi Kesto: 25 huhtik. 2021 → 28 huhtik. 2021 Konferenssinumero: 93

Julkaisusarja

Nimi	IEEE Vehicular Technology Conference
ISSN (painettu)	1090-3038
ISSN (elektroninen)	2577-2465

Conference

Conference	IEEE Vehicular Technology Conference
Lyhennettä	VTC-Spring
Maa/Alue	Suomi
Kaupunki	Helsinki
Ajanjakso	25/04/2021 → 28/04/2021

Pääsy asiakirjaan

10.1109/VTC2021-Spring51267.2021.9449010

Vehkalahti2021_PrecodingAccepted author manuscript, 271 KB

OpenUrl-saatavuus

Koko teksti

Muut tiedostot ja linkit

Linkki julkaisuun Scopuksessa

-: Radioverkkojen optimointi heterogeeniseen konetietoliikenteeseen
Tirkkonen, O., Al-Tous, H., Vehkalahti, R., Ponnada, T., Kazemi, P., Heikkilä, E., Pllaha, T. & Garau Burguera, P.
01/01/2019 → 31/12/2022
Projekti: Academy of Finland: Other research funding

Siteeraa tätä

@inproceedings{b59d222b01a7418bb6a5f868dd0df6d8,

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.",

author = "Roope Vehkalahti and Jialing Liao and Tefjol Pllaha and Wei Han and Olav Tirkkonen",

year = "2021",

month = jun,

day = "15",

doi = "10.1109/VTC2021-Spring51267.2021.9449010",

language = "English",

series = "IEEE Vehicular Technology Conference",

publisher = "IEEE",

booktitle = "Proceedings of 93rd IEEE Vehicular Technology Conference, VTC 2021",

address = "United States",

note = "IEEE Vehicular Technology Conference, VTC-Spring ; Conference date: 25-04-2021 Through 28-04-2021",

}

Vehkalahti, R, Liao, J, Pllaha, T, Han, W & Tirkkonen, O 2021, CSI Quantization for FDD Massive MIMO Communication. julkaisussa Proceedings of 93rd IEEE Vehicular Technology Conference, VTC 2021., 9449010, IEEE Vehicular Technology Conference, IEEE, IEEE Vehicular Technology Conference, Helsinki, Suomi, 25/04/2021. https://doi.org/10.1109/VTC2021-Spring51267.2021.9449010

TY - GEN

T1 - CSI Quantization for FDD Massive MIMO Communication

AU - Vehkalahti, Roope

AU - Liao, Jialing

AU - Pllaha, Tefjol

AU - Han, Wei

AU - Tirkkonen, Olav

N1 - Conference code: 93

PY - 2021/6/15

Y1 - 2021/6/15

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.

UR - http://www.scopus.com/inward/record.url?scp=85112454830&partnerID=8YFLogxK

U2 - 10.1109/VTC2021-Spring51267.2021.9449010

DO - 10.1109/VTC2021-Spring51267.2021.9449010

M3 - Conference contribution

T3 - IEEE Vehicular Technology Conference

BT - Proceedings of 93rd IEEE Vehicular Technology Conference, VTC 2021

PB - IEEE

T2 - IEEE Vehicular Technology Conference

Y2 - 25 April 2021 through 28 April 2021

ER -

CSI Quantization for FDD Massive MIMO Communication

Abstrakti

Julkaisusarja

Conference

Pääsy asiakirjaan

OpenUrl-saatavuus

Muut tiedostot ja linkit

Sormenjälki

Projektit

-: Radioverkkojen optimointi heterogeeniseen konetietoliikenteeseen

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