The study investigates the self-equalization effect and its impact on the spectral efficiency (SE) analysis in a massive multiple-input multiple-output (MIMO) scenario for 5G wireless networks for filter bank multicarrier (FBMC) and orthogonal frequency division multiplexing (OFDM) modulations. For that the SNR adopted in previous studies is compared to the inverse of the mean squared error (MSE) for multiple users in a single cell environment. In order to incorporate other distortions not correlated to the signal, this work uses the inverse of the MSE as the signal-to-noise-and-distortion ratio (SNDR) and, that metric is adopted for SE calculation in massive MIMO (MM) uplink setup. Throughout the article, the importance of considering this metric for the SE analysis of the MM system will be noticeable. Previous works dealing with MM focus on the case when the number of antennas is so much higher than the number of users that specific conditions could be applied, however, it was shown throughout this study that some of those assumptions could represent an imprecision, especially for the case when the ratio between the number of antennas and the number of users is less expressive.

中文翻译：

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实际场景中大规模 MIMO 正交频分复用和滤波器组多载波的频谱效率分析，使用不同调制编码方案的信噪失真比和插值

该研究调查了滤波器组多载波 (FBMC) 和正交频分复用 (OFDM) 的 5G 无线网络在大规模多输入多输出 (MIMO) 场景中的自均衡效应及其对频谱效率 (SE) 分析的影响) 调制。为此，将先前研究中采用的 SNR 与单个小区环境中多个用户的均方误差 (MSE) 的倒数进行比较。为了包含与信号无关的其他失真，这项工作使用 MSE 的倒数作为信噪失真比 (SNDR)，并且该度量用于大规模 MIMO (MM) 中的 SE 计算上行链路设置。在整篇文章中，考虑这个度量对 MM 系统的 SE 分析的重要性将是显而易见的。