Impact of Imperfect Channel Estimation on 5G-NR

Aysegul Ilay Tunali; Hakan Ali Cirpan

doi:10.1109/BlackSeaCom52164.2021.9527762

Impact of Imperfect Channel Estimation on 5G-NR

Aysegul Ilay Tunali, Hakan Ali Cirpan

Elektronik ve Hab.Müh.Bölümü

ASELSAN Inc.

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

4 Atıf (Scopus)

Özet

In 5G new radio (5G-NR), newly defined channel state information reference signal (CSI-RS) and demodulated reference signal (DMRS) are used together in the front-load transmission to improve the performance of channel estimation for the Physical Downlink Shared Channel (PDSCH). 5G-NR PDSCH first uses CSI-RS to determine precoder matrix together with the true beam specifications, then DMRS decides on the channel coefficients for the PDSCH. In this work, the effect of the imperfect channel estimation is elaborated in CSI-RS and DMRS channels separately. Our simulation results suggest that the imperfect estimation of DMRS channels affect the coded block error rate (BLER) of realistic channel models significantly. We also compare and analyze simulation results for both Clustered Delay Line (CDL) and Tapped Delay Line (TDL) channel models.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781665403085
DOI'lar	https://doi.org/10.1109/BlackSeaCom52164.2021.9527762
Yayın durumu	Yayınlandı - 24 May 2021
Etkinlik	2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021 - Virtual, Bucharest, Romania Süre: 24 May 2021 → 28 May 2021

Yayın serisi

Adı	2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021
Ülke/Bölge	Romania
Şehir	Virtual, Bucharest
Periyot	24/05/21 → 28/05/21

Bibliyografik not

Publisher Copyright:
© 2021 IEEE.

Finansman

This research is supported by ASELSAN Inc. under the “5G Platform” project which is partly funded by the Scientific and Technological Research Council of Turkey (TUBITAK) under the project number 1160206.

Finansörler	Finansör numarası
TUBITAK	1160206
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
Aselsan

Belgeye Erişim

10.1109/BlackSeaCom52164.2021.9527762

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Tunali, A. I., & Cirpan, H. A. (2021). Impact of Imperfect Channel Estimation on 5G-NR. In 2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021 (2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BlackSeaCom52164.2021.9527762

@inproceedings{be8da79805394e9cae7a3bf5db7fb4e1,

title = "Impact of Imperfect Channel Estimation on 5G-NR",

abstract = "In 5G new radio (5G-NR), newly defined channel state information reference signal (CSI-RS) and demodulated reference signal (DMRS) are used together in the front-load transmission to improve the performance of channel estimation for the Physical Downlink Shared Channel (PDSCH). 5G-NR PDSCH first uses CSI-RS to determine precoder matrix together with the true beam specifications, then DMRS decides on the channel coefficients for the PDSCH. In this work, the effect of the imperfect channel estimation is elaborated in CSI-RS and DMRS channels separately. Our simulation results suggest that the imperfect estimation of DMRS channels affect the coded block error rate (BLER) of realistic channel models significantly. We also compare and analyze simulation results for both Clustered Delay Line (CDL) and Tapped Delay Line (TDL) channel models.",

keywords = "5G-NR physical layer, CSI-RS, DMRS, massive MIMO, PDSCH, precoding",

author = "Tunali, {Aysegul Ilay} and Cirpan, {Hakan Ali}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021 ; Conference date: 24-05-2021 Through 28-05-2021",

year = "2021",

month = may,

day = "24",

doi = "10.1109/BlackSeaCom52164.2021.9527762",

language = "English",

series = "2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021",

address = "United States",

}

Tunali, AI & Cirpan, HA 2021, Impact of Imperfect Channel Estimation on 5G-NR. in 2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021. 2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021, Virtual, Bucharest, Romania, 24/05/21. https://doi.org/10.1109/BlackSeaCom52164.2021.9527762

Impact of Imperfect Channel Estimation on 5G-NR. / Tunali, Aysegul Ilay; Cirpan, Hakan Ali.
2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

TY - GEN

T1 - Impact of Imperfect Channel Estimation on 5G-NR

AU - Tunali, Aysegul Ilay

AU - Cirpan, Hakan Ali

PY - 2021/5/24

Y1 - 2021/5/24

N2 - In 5G new radio (5G-NR), newly defined channel state information reference signal (CSI-RS) and demodulated reference signal (DMRS) are used together in the front-load transmission to improve the performance of channel estimation for the Physical Downlink Shared Channel (PDSCH). 5G-NR PDSCH first uses CSI-RS to determine precoder matrix together with the true beam specifications, then DMRS decides on the channel coefficients for the PDSCH. In this work, the effect of the imperfect channel estimation is elaborated in CSI-RS and DMRS channels separately. Our simulation results suggest that the imperfect estimation of DMRS channels affect the coded block error rate (BLER) of realistic channel models significantly. We also compare and analyze simulation results for both Clustered Delay Line (CDL) and Tapped Delay Line (TDL) channel models.

AB - In 5G new radio (5G-NR), newly defined channel state information reference signal (CSI-RS) and demodulated reference signal (DMRS) are used together in the front-load transmission to improve the performance of channel estimation for the Physical Downlink Shared Channel (PDSCH). 5G-NR PDSCH first uses CSI-RS to determine precoder matrix together with the true beam specifications, then DMRS decides on the channel coefficients for the PDSCH. In this work, the effect of the imperfect channel estimation is elaborated in CSI-RS and DMRS channels separately. Our simulation results suggest that the imperfect estimation of DMRS channels affect the coded block error rate (BLER) of realistic channel models significantly. We also compare and analyze simulation results for both Clustered Delay Line (CDL) and Tapped Delay Line (TDL) channel models.

KW - 5G-NR physical layer

KW - CSI-RS

KW - DMRS

KW - massive MIMO

KW - PDSCH

KW - precoding

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U2 - 10.1109/BlackSeaCom52164.2021.9527762

DO - 10.1109/BlackSeaCom52164.2021.9527762

M3 - Conference contribution

AN - SCOPUS:85115670853

T3 - 2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021

BT - 2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021

Y2 - 24 May 2021 through 28 May 2021

ER -

Tunali AI, Cirpan HA. Impact of Imperfect Channel Estimation on 5G-NR. In 2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (2021 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2021). doi: 10.1109/BlackSeaCom52164.2021.9527762

Impact of Imperfect Channel Estimation on 5G-NR

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

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