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Impact of RF transmitter hardware on 5G waveforms: Signal conditionings for UF-OFDM

机译:RF发射器硬件对5G波形的影响:UF-OFDM的信号调节

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We compare the 5G candidate waveforms UF-OFDM and CP-OFDM, as well as their single carrier DFT-spread variants, with respect to their sensitivity to impacts arising from RF processing in conjunction with respective signal conditioning algorithms, using both simulations and hardware measurements. Clipping algorithms are used for dealing with the high peak-to-average-power-ratio (PAPR), while taking care on fulfilling requirements for signal integrity and spectral masks. The fragmented spectrum scenario imposes a special challenge to all waveforms, as band gaps may be filled with clipping noise when using conventional clipping algorithms. We show that by applying the so-called content aware clipping technique to UF-OFDM, we are able to support also narrow band gaps with attenuations in the order of 50 dB. Measurement results for PAPR, error vector magnitude (EVM) and symbol error rate are provided. We show that in general, existing signal conditioning algorithms work smoothly with the UF-OFDM waveform and its DFT-spread variant.
机译:我们将5G候选波形UF-OFDM和CP-OFDM和CP-OFDM进行比较,以及它们的单一载波DFT扩展变体,相对于从RF处理与各个信号调节算法结合使用的影响,使用两种模拟和硬件测量。剪切算法用于处理高峰平均功率 - 比(PAPR),同时考虑满足信号完整性和光谱掩模的要求。分段的频谱方案对所有波形施加了特殊的挑战,因为在使用传统剪辑算法时,频带间隙可以填充剪切噪声。我们表明,通过将所谓的内容感知剪切技术应用于UF-OFDM,我们能够通过50 dB的顺序支持窄带间隙。提供了PAPR,误差矢量幅度(EVM)和符号错误率的测量结果。我们表明,通常,现有信号调节算法与UF-OFDM波形和其DFT扩展变体顺利工作。

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