Energy efficient massive multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) antenna systems have received a great deal of attention for use in industrial network applications due to the possibility of reducing operation costs and carbon footprint. One of the difficulties in realizing high energy efficiency (EE) massive MIMO-OFDM antenna systems is the high peak-to-average power ratio (PAPR) of the signal, which seriously limits the efficiency of power amplifiers (PA). Selected mapping (SLM) is a powerful PAPR reduction scheme for OFDM related systems, however, there is implicit consensus that SLM could not be applied to massive MIMOOFDM antenna systems due to its high computational complexity and side information (SI) burden. In this paper, we propose an SLM-based PAPR reduction scheme that can be applied to massive MIMO-OFDM antenna systems based on antenna grouping. Using the antenna grouping based suboptimal scheme, we show that an SLM-based PAPR reduction scheme can be successfully applied to massive MIMOOFDM antenna systems with significant increase of EE. The proposed scheme has very high flexibility with various adjustable parameters, so one can easily choose the settings they desire between performance-complexity tradeoff. Numerical analysis shows that the propose scheme can increase EE by 18.69% compared with the conventional system.

中文翻译：

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工业大规模 MIMO-OFDM 天线系统基于天线分组的节能映射方案


由于可以降低运营成本和碳足迹，节能大规模多输入多输出 (MIMO) 正交频分复用 (OFDM) 天线系统在工业网络应用中的使用受到了广泛关注。实现高能效（EE）大规模MIMO-OFDM天线系统的困难之一是信号的高峰均功率比（PAPR），这严重限制了功率放大器（PA）的效率。选择映射（SLM）是 OFDM 相关系统的一种强大的 PAPR 降低方案，然而，人们普遍认为，SLM 由于其高计算复杂度和辅助信息（SI）负担而无法应用于大规模 MIMOOFDM 天线系统。在本文中，我们提出了一种基于SLM的PAPR降低方案，该方案可应用于基于天线分组的大规模MIMO-OFDM天线系统。使用基于天线分组的次优方案，我们表明基于 SLM 的 PAPR 降低方案可以成功应用于大规模 MIMOOFDM 天线系统，并且 EE 显着增加。所提出的方案具有非常高的灵活性，具有各种可调参数，因此人们可以轻松地在性能与复杂性权衡之间选择他们想要的设置。数值分析表明，与传统系统相比，该方案可使EE提高18.69%。