UPDF AI

PCID Detection Probabilities in the Presence of CFO and Strong Phase Noise in Sub-THz Bands

Takashi Ohiwa,Yuki Mabuchi,2 Authors,Satoshi Suyama

2024 · DOI: 10.1109/APCC62576.2024.10768056
Asia-Pacific Conference on Communications · 1 Citations

Abstract

This paper presents detection probabilities for the physical layer cell ID (PCID) in the presence of a large carrier frequency offset (CFO) and strong phase noise (PN) for the New Radio downlink in sub-terahertz (sub-THz) bands. In the sub-THz bands, CFO is large due to the frequency error of the local oscillator in a set of user equipment. The PN power becomes large because of the increase in uncorrelated Gaussian PN with high frequency components due to a significantly wide transmission bandwidth. We compare the PCID detection probabilities of PCID detection methods that employ two promising CFO estimation methods. Computer simulation results show that the PCID detection method using fractional frequency offset (FFO) estimation based on the autocorrelation using the cyclic prefix waveform and joint integer frequency offset (IFO) estimation with the primary synchronization signal (PSS) attains a higher PCID detection probability than that using FFO estimation predicated on the cross-correlation of the PSS and joint IFO estimation with the secondary synchronization signal (SSS) sequence in the presence of a large CFO and strong PN in the sub-THz bands.