Blind Numerology Identification for Mixed Numerologies

Fuente: arXiv
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Main Authors: Jaradat, Ahmad M., Memisoglu, Ebubekir, Arslan, Huseyin
Format: Preprint
Published: 2020
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author Jaradat, Ahmad M.
Memisoglu, Ebubekir
Arslan, Huseyin
author_facet Jaradat, Ahmad M.
Memisoglu, Ebubekir
Arslan, Huseyin
contents 5G New Radio (NR) introduces new flexibility that different numerologies can be selected to meet the requirements of a wide variety of services. For this new structure, blind numerology identification can increase system efficiency. Therefore, we propose a blind identification method for mixed numerologies. An autocorrelation method is applied in the time domain by correlating the cyclic prefix (CP) signal of the candidate numerology in the received composite signal for numerology type identification. Then, the location of each numerology in the frequency domain is identified by the variance difference in the power spectral density (PSD) of the subbands, on which different numerologies are occupied. The simulation results are obtained under additive white Gaussian noise (AWGN) and frequencyselective channels. The obtained results show that the proposed method has a robust identification accuracy and a satisfactory BER performance as compared to the non-blind identification approach in the conventional mixed-numerology system.
format Preprint
id arxiv_https___arxiv_org_abs_2006_09457
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Blind Numerology Identification for Mixed Numerologies
Jaradat, Ahmad M.
Memisoglu, Ebubekir
Arslan, Huseyin
Signal Processing
5G New Radio (NR) introduces new flexibility that different numerologies can be selected to meet the requirements of a wide variety of services. For this new structure, blind numerology identification can increase system efficiency. Therefore, we propose a blind identification method for mixed numerologies. An autocorrelation method is applied in the time domain by correlating the cyclic prefix (CP) signal of the candidate numerology in the received composite signal for numerology type identification. Then, the location of each numerology in the frequency domain is identified by the variance difference in the power spectral density (PSD) of the subbands, on which different numerologies are occupied. The simulation results are obtained under additive white Gaussian noise (AWGN) and frequencyselective channels. The obtained results show that the proposed method has a robust identification accuracy and a satisfactory BER performance as compared to the non-blind identification approach in the conventional mixed-numerology system.
title Blind Numerology Identification for Mixed Numerologies
topic Signal Processing
url https://arxiv.org/abs/2006.09457