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Cubic Metric Reduction for Repetitive CAZAC Sequences in frequency domain

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arxiv 1910.11184 v4 pith:KD3ELXSN submitted 2019-10-21 cs.IT cs.PFmath.IT

Cubic Metric Reduction for Repetitive CAZAC Sequences in frequency domain

classification cs.IT cs.PFmath.IT
keywords channelscazacmechanismspucchsequencesauto-correlationconsideringcubic
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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In NR-based Access to Unlicensed Spectrum (NR-U) of 5G system, to satisfy the rules of Occupied Channel Bandwidth (OCB) of unlicensed spectrum, the channels of PRACH and PUCCH have to use some sequence repetition mechanisms in frequency domain. These repetition mechanisms will cause serious cubic metric(CM) problems for these channels, although these two types of channels are composed of Constant Amplitude Zero Auto-correlation(CAZAC) sequences.. Based on the characteristics of CAZAC sequences, which are used for PRACH and PUCCH (refer to PUCCH format 0 and format 1) in 5G NR, in this paper, we propose some new mechanisms of CM reduction for these two types of channels considering the design principles to ensure the sequence performance of the auto-correlation and cross-correlation. Then the proposed CM schemes are evaluated and the optimized parameters are further provided considering CM performance and the complexity.

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