Physical Cell ID Detection Probability Using NB-IoT Synchronization Signals in 28-GHz Band

Daisuke INOUE; Kyogo OTA; Mamoru SAWAHASHI; Satoshi NAGATA

doi:10.1587/transcom.2020FGP0003

Physical Cell ID Detection Probability Using NB-IoT Synchronization Signals in 28-GHz Band

Daisuke INOUE, Kyogo OTA, Mamoru SAWAHASHI, Satoshi NAGATA

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This paper presents the physical-layer cell identity (PCID) detection probability using the narrowband primary synchronization signal (NPSS) and narrowband secondary synchronization signal (NSSS) based on the narrowband Internet-of-Things (NB-IoT) radio interface considering frequency offset and the maximum Doppler frequency in the 28-GHz band. Simulation results show that the autocorrelation based NPSS detection method is more effective than the cross-correlation based NPSS detection using frequency offset estimation and compensation before the NPSS received timing detection from the viewpoints of PCID detection probability and computational complexity. We also show that when using autocorrelation based NPSS detection, the loss in the PCID detection probability at the carrier frequency of f_c =28GHz compared to that for f_c =3.5GHz is only approximately 5% at the average received signal-to-noise ratio (SNR) of 0dB when the frequency stability of a local oscillator of a user equipment (UE) set is 20ppm. Therefore, we conclude that the multiplexing schemes and sequences of NPSS and NSSS based on the NB-IoT radio interface associated with autocorrelation based NPSS detection will support the 28-GHz frequency spectra.

Publication: IEICE TRANSACTIONS on Communications Vol.E104-B No.9 pp.1110-1119

Publication Date: 2021/09/01

Publicized: 2021/03/17

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2020FGP0003

Type of Manuscript: Special Section PAPER (Special Section on Technology Trials and Proof-of-Concept Activities for 5G Evolution and Beyond)

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Authors

Daisuke INOUE
  Tokyo City University
Kyogo OTA
  Tokyo City University
Mamoru SAWAHASHI
  Tokyo City University
Satoshi NAGATA
  NTT DOCOMO INC.

Keyword

NB-IoT, physical-layer cell ID, synchronization signal, frequency offset estimation, millimeter wave

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Daisuke INOUE, Kyogo OTA, Mamoru SAWAHASHI, Satoshi NAGATA, "Physical Cell ID Detection Probability Using NB-IoT Synchronization Signals in 28-GHz Band" in IEICE TRANSACTIONS on Communications, vol. E104-B, no. 9, pp. 1110-1119, September 2021, doi: 10.1587/transcom.2020FGP0003.
Abstract: This paper presents the physical-layer cell identity (PCID) detection probability using the narrowband primary synchronization signal (NPSS) and narrowband secondary synchronization signal (NSSS) based on the narrowband Internet-of-Things (NB-IoT) radio interface considering frequency offset and the maximum Doppler frequency in the 28-GHz band. Simulation results show that the autocorrelation based NPSS detection method is more effective than the cross-correlation based NPSS detection using frequency offset estimation and compensation before the NPSS received timing detection from the viewpoints of PCID detection probability and computational complexity. We also show that when using autocorrelation based NPSS detection, the loss in the PCID detection probability at the carrier frequency of f_c =28GHz compared to that for f_c =3.5GHz is only approximately 5% at the average received signal-to-noise ratio (SNR) of 0dB when the frequency stability of a local oscillator of a user equipment (UE) set is 20ppm. Therefore, we conclude that the multiplexing schemes and sequences of NPSS and NSSS based on the NB-IoT radio interface associated with autocorrelation based NPSS detection will support the 28-GHz frequency spectra.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020FGP0003/_p

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@ARTICLE{e104-b_9_1110,
author={Daisuke INOUE, Kyogo OTA, Mamoru SAWAHASHI, Satoshi NAGATA, },
journal={IEICE TRANSACTIONS on Communications},
title={Physical Cell ID Detection Probability Using NB-IoT Synchronization Signals in 28-GHz Band},
year={2021},
volume={E104-B},
number={9},
pages={1110-1119},
abstract={This paper presents the physical-layer cell identity (PCID) detection probability using the narrowband primary synchronization signal (NPSS) and narrowband secondary synchronization signal (NSSS) based on the narrowband Internet-of-Things (NB-IoT) radio interface considering frequency offset and the maximum Doppler frequency in the 28-GHz band. Simulation results show that the autocorrelation based NPSS detection method is more effective than the cross-correlation based NPSS detection using frequency offset estimation and compensation before the NPSS received timing detection from the viewpoints of PCID detection probability and computational complexity. We also show that when using autocorrelation based NPSS detection, the loss in the PCID detection probability at the carrier frequency of f_c =28GHz compared to that for f_c =3.5GHz is only approximately 5% at the average received signal-to-noise ratio (SNR) of 0dB when the frequency stability of a local oscillator of a user equipment (UE) set is 20ppm. Therefore, we conclude that the multiplexing schemes and sequences of NPSS and NSSS based on the NB-IoT radio interface associated with autocorrelation based NPSS detection will support the 28-GHz frequency spectra.},
keywords={},
doi={10.1587/transcom.2020FGP0003},
ISSN={1745-1345},
month={September},}

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TY - JOUR
TI - Physical Cell ID Detection Probability Using NB-IoT Synchronization Signals in 28-GHz Band
T2 - IEICE TRANSACTIONS on Communications
SP - 1110
EP - 1119
AU - Daisuke INOUE
AU - Kyogo OTA
AU - Mamoru SAWAHASHI
AU - Satoshi NAGATA
PY - 2021
DO - 10.1587/transcom.2020FGP0003
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2021
AB - This paper presents the physical-layer cell identity (PCID) detection probability using the narrowband primary synchronization signal (NPSS) and narrowband secondary synchronization signal (NSSS) based on the narrowband Internet-of-Things (NB-IoT) radio interface considering frequency offset and the maximum Doppler frequency in the 28-GHz band. Simulation results show that the autocorrelation based NPSS detection method is more effective than the cross-correlation based NPSS detection using frequency offset estimation and compensation before the NPSS received timing detection from the viewpoints of PCID detection probability and computational complexity. We also show that when using autocorrelation based NPSS detection, the loss in the PCID detection probability at the carrier frequency of f_c =28GHz compared to that for f_c =3.5GHz is only approximately 5% at the average received signal-to-noise ratio (SNR) of 0dB when the frequency stability of a local oscillator of a user equipment (UE) set is 20ppm. Therefore, we conclude that the multiplexing schemes and sequences of NPSS and NSSS based on the NB-IoT radio interface associated with autocorrelation based NPSS detection will support the 28-GHz frequency spectra.
ER -