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PAPR Reduction via Degree of Freedom from Multiple Antennas in Large-Scale MIMO-OFDM Systems

机译:通过大型MIMO-OFDM系统中的多个天线自由度降低PAPR降低

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Due to the high spectral efficiency and robustness against frequency-selective fading channels, large-scale multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) has become a promising technology for 5G communication systems. However, large-scale MIMO-OFDM is also faced with the problem of high peak-to-average power ratio (PAPR) caused by multicarrier signals. In this paper, an algorithm, which uses the degree of freedom provided by massive antenna arrays, is proposed to reduce the PAPR in large-scale MIMO-OFDM systems. The proposed algorithm, constructing a PAPR reduction signal in the null space of channel matrix, exhibits good PAPR reduction performance. To reduce the complexity, a suboptimal algorithm is also presented. Simulation results verify the advantages of the proposed algorithms.
机译:由于频率选择性衰落通道的高光谱效率和鲁棒性,大规模多输入多输出正交频分复用(MIMO-OFDM)已成为5G通信系统的有希望的技术。然而,大规模的MIMO-OFDM也面临着由多载波信号引起的高峰平均功率比(PAPR)的问题。在本文中,提出了一种利用大规模天线阵列提供的自由度的算法,以减少大规模MIMO-OFDM系统中的PAPR。所提出的算法,构建信道矩阵空间中的PAPR降低信号,表现出良好的PAPR降低性能。为了降低复杂性,还呈现了次优算法。仿真结果验证了所提出的算法的优势。

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