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Blind Numerology Identification for Mixed Numerologies

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Document pages: 5 pages

Abstract: 5G New Radio (NR) introduces new flexibility that different numerologies canbe selected to meet the requirements of a wide variety of services. For thisnew structure, blind numerology identification can increase system efficiency.Therefore, we propose a blind identification method for mixed numerologies. Anautocorrelation method is applied in the time domain by correlating the cyclicprefix (CP) signal of the candidate numerology in the received composite signalfor numerology type identification. Then, the location of each numerology inthe frequency domain is identified by the variance difference in the powerspectral density (PSD) of the subbands, on which different numerologies areoccupied. The simulation results are obtained under additive white Gaussiannoise (AWGN) and frequencyselective channels. The obtained results show thatthe proposed method has a robust identification accuracy and a satisfactory BERperformance as compared to the non-blind identification approach in theconventional mixed-numerology system.

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