Paper Abstract and Keywords |
Presentation |
2019-01-31 10:40
Physical Cell ID Detection Probability with Frequency Offset Estimation and Compensation Using Synchronization Signals for NR Radio Interface Kyogo Ota, Aya Shimura, Mamoru Sawahashi (Tokyo City Univ.), Satoshi Nagata (NTT DOCOMO) IT2018-39 SIP2018-69 RCS2018-246 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper presents physical-layer cell identity (PCID) detection probability using frequency offset estimation and compensation for 5th generation (5G) new radio (NR). We compare the detection probabilities of primary synchronization signal (PSS) and PCID by using the cross-correlation and auto-correlation based detection methods for estimating the PSS received timing, PSS sequence, and frequency offset. Computer simulation results show that the cross-correlation based detection method achieves the higher PCID detection probability compared to the auto-correlation based detection method for the maximum frequency offset less than approximately 12 kHz. We also show that cross-correlation based detection method achieves the higher PCID detection probability compared to the auto-correlation based detection method for the carrier frequency of less than approximately 18 and 14 GHz in the average received SNR per receiver antenna of 0 and 10 dB, respectively, and otherwise the auto-correlation based detection method achieves the higher PCID detection probability than the cross-correlation based detection method, when the frequency error of a standard oscillator of user equipment is 1 ppm with 2-antenna receiver diversity. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
physical-layer cell ID / synchronization signal / 5G NR / frequency offset / receiver diversity / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 435, RCS2018-246, pp. 25-30, Jan. 2019. |
Paper # |
RCS2018-246 |
Date of Issue |
2019-01-24 (IT, SIP, RCS) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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IT2018-39 SIP2018-69 RCS2018-246 |
Conference Information |
Committee |
RCS SIP IT |
Conference Date |
2019-01-31 - 2019-02-01 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Osaka University |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
RCS |
Conference Code |
2019-01-RCS-SIP-IT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Physical Cell ID Detection Probability with Frequency Offset Estimation and Compensation Using Synchronization Signals for NR Radio Interface |
Sub Title (in English) |
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Keyword(1) |
physical-layer cell ID |
Keyword(2) |
synchronization signal |
Keyword(3) |
5G NR |
Keyword(4) |
frequency offset |
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receiver diversity |
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1st Author's Name |
Kyogo Ota |
1st Author's Affiliation |
Tokyo City University (Tokyo City Univ.) |
2nd Author's Name |
Aya Shimura |
2nd Author's Affiliation |
Tokyo City University (Tokyo City Univ.) |
3rd Author's Name |
Mamoru Sawahashi |
3rd Author's Affiliation |
Tokyo City University (Tokyo City Univ.) |
4th Author's Name |
Satoshi Nagata |
4th Author's Affiliation |
NTT DOCOMO (NTT DOCOMO) |
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Speaker |
Author-1 |
Date Time |
2019-01-31 10:40:00 |
Presentation Time |
25 minutes |
Registration for |
RCS |
Paper # |
IT2018-39, SIP2018-69, RCS2018-246 |
Volume (vol) |
vol.118 |
Number (no) |
no.433(IT), no.434(SIP), no.435(RCS) |
Page |
pp.25-30 |
#Pages |
6 |
Date of Issue |
2019-01-24 (IT, SIP, RCS) |
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