Low PAPR DMRS sequence Design for 5G-NR Uplink

Khan M. Sibgath Ali, Rao Koteswara, Amuru Saidhiraj, Kuchi Kiran
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引用次数: 5

Abstract

Low peak-to-average-power ratio (PAPR) transmissions significantly improve the cell coverage as they enable high power transmissions. A new modulation scheme, namely $\pi/2-$ BPSK, was introduced in the Rel-15 3GPP 5G NR specifications to support low PAPR data transmissions in the uplink. However, in the existing 5G NR specifications, the reference signals employed for coherent demodulation of data symbols have higher PAPR than the data signals. This will potentially limit the cell coverage. It is, therefore, necessary to design reference signals that have low PAPR compared to the data signals. In this paper, we first present an architecture to minimize the PAPR of a binary sequence. We then present a systematic search procedure to obtain the best set of binary sequences, which, when employed for a reference signal generation, results in the best channel estimation performance. We show via simulations that the obtained binary sequences coupled with the architecture have a PAPR 2 dB smaller than the existing reference signals without compromising on the channel estimation performance.
5G-NR上行低PAPR DMRS序列设计
低峰值平均功率比(PAPR)传输可以实现高功率传输,从而显著提高小区覆盖率。在Rel-15 3GPP 5G NR规范中引入了新的调制方案$\pi/2-$ BPSK,以支持上行链路中的低PAPR数据传输。然而,在现有的5G NR规范中,用于数据符号相干解调的参考信号比数据信号具有更高的PAPR。这可能会限制手机的覆盖范围。因此,有必要设计与数据信号相比具有低PAPR的参考信号。在本文中,我们首先提出了一种最小化二值序列PAPR的结构。然后,我们提出了一个系统的搜索过程,以获得最佳的二值序列集,当用于参考信号生成时,可以获得最佳的信道估计性能。我们通过仿真表明,在不影响信道估计性能的情况下,与该体系结构耦合得到的二值序列的PAPR比现有参考信号小2 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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