{"title":"Physical Cell ID Detection Probability in the Presence of CFO Including Doppler Shift for NR TN and NTN","authors":"Shun Yoneda, M. Sawahashi, Satoshi Nagata","doi":"10.1109/APWCS60142.2023.10234037","DOIUrl":null,"url":null,"abstract":"This paper presents the physical-layer cell identity (PCID) detection probability in the presence of a large carrier frequency offset (CFO) including a large Doppler shift and phase noise from a local oscillator for the 5G New Radio (NR) terrestrial network (TN) and non-terrestrial network (NTN) in the millimeter-wave bands. We employ the same PCID detection method with CFO estimation for both the TN and NTN, which employs cyclic prefix (CP)-based fractional frequency offset (FFO) estimation and joint integer frequency offset (IFO) estimation with the primary synchronization signal sequence (PSS). Link-level simulation results show that the CFO due to the frequency stability of a local oscillator of a set of user equipment of up to 20 ppm and a large Doppler shift resulting from satellite movement are suppressed to a low level employing the same PCID detection method with CFO compensation. We also show that the impact of the time-varying phase noise on the PCID detection probability is slight. Accordingly, the high PCID detection probabilities of approximately 95% and 99% are achieved at the average received signal-to-noise ratio (SNR) of approximately 0dB and -4dB for the Tapped Delay Line (TDL)-C and NTN-TDL-A channel models in a non-line-of-sight (NLOS) environment, and the NTN-TDL-C channel model in a LOS environment, respectively.","PeriodicalId":375211,"journal":{"name":"2023 VTS Asia Pacific Wireless Communications Symposium (APWCS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 VTS Asia Pacific Wireless Communications Symposium (APWCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APWCS60142.2023.10234037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents the physical-layer cell identity (PCID) detection probability in the presence of a large carrier frequency offset (CFO) including a large Doppler shift and phase noise from a local oscillator for the 5G New Radio (NR) terrestrial network (TN) and non-terrestrial network (NTN) in the millimeter-wave bands. We employ the same PCID detection method with CFO estimation for both the TN and NTN, which employs cyclic prefix (CP)-based fractional frequency offset (FFO) estimation and joint integer frequency offset (IFO) estimation with the primary synchronization signal sequence (PSS). Link-level simulation results show that the CFO due to the frequency stability of a local oscillator of a set of user equipment of up to 20 ppm and a large Doppler shift resulting from satellite movement are suppressed to a low level employing the same PCID detection method with CFO compensation. We also show that the impact of the time-varying phase noise on the PCID detection probability is slight. Accordingly, the high PCID detection probabilities of approximately 95% and 99% are achieved at the average received signal-to-noise ratio (SNR) of approximately 0dB and -4dB for the Tapped Delay Line (TDL)-C and NTN-TDL-A channel models in a non-line-of-sight (NLOS) environment, and the NTN-TDL-C channel model in a LOS environment, respectively.