The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Este artigo apresenta a probabilidade de detecção de identidade celular da camada física (PCID) usando o sinal de sincronização primária de banda estreita (NPSS) e o sinal de sincronização secundária de banda estreita (NSSS) com base na interface de rádio Internet das Coisas de banda estreita (NB-IoT) considerando deslocamento de frequência e a frequência Doppler máxima na banda de 28 GHz. Os resultados da simulação mostram que o método de detecção NPSS baseado em autocorrelação é mais eficaz do que a detecção NPSS baseada em correlação cruzada usando estimativa e compensação de deslocamento de frequência antes que o NPSS recebesse detecção de tempo do ponto de vista da probabilidade de detecção de PCID e complexidade computacional. Mostramos também que ao usar a detecção NPSS baseada em autocorrelação, a perda na probabilidade de detecção de PCID na frequência da portadora de fc = 28 GHz em comparação com fc =3.5GHz é apenas aproximadamente 5% na relação sinal-ruído (SNR) média recebida de 0dB quando a estabilidade de frequência de um oscilador local de um conjunto de equipamento de usuário (UE) é 20ppm. Portanto, concluímos que os esquemas e sequências de multiplexação de NPSS e NSSS baseados na interface de rádio NB-IoT associada à detecção de NPSS baseada em autocorrelação suportarão os espectros de frequência de 28 GHz.
Daisuke INOUE
Tokyo City University
Kyogo OTA
Tokyo City University
Mamoru SAWAHASHI
Tokyo City University
Satoshi NAGATA
NTT DOCOMO INC.
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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 fc =28GHz compared to that for fc =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 fc =28GHz compared to that for fc =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 fc =28GHz compared to that for fc =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 -