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A Low-Complexity Hybrid Subblock Segmentation PTS Scheme for PAPR Reduction in MIMO-OFDM System

机译:用于MIMO-OFDM系统中降低PAPR的低复杂度混合子块分割PTS方案

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Multiple input and multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is used to improve the performance and capacity of wireless communication system. OFDM is an efficient and promising modulation technique for wireless transmission due to its high spectral efficiency and robustness to frequency selective fading channels. However, it has high peak to average ratio (PAPR) which is a main disadvantage. Partial transmit sequence (PTS) is one of the most widely used technique that gives a better performance in PAPR reduction for MIMO-OFDM system. However the computational complexity of traditional PTS method is tremendous. In this paper, A Low-Complexity Hybrid Subblock Segmentation PTS Scheme for PAPR Reduction in MIMO-OFDM System is proposed. For analytic purposes, we derive computational complexity expressions for the proposed segmentation method and analyze the computational complexity of the proposed segmentation method compared with that of the random segmentation method which has the best Peak to Average Power Ratio (PAPR) reduction performance. The simulation results show that the PAPR reduction performance is degraded only slightly compared with random segmentation method.
机译:多输入多输出正交频分复用(MIMO-OFDM)被用于提高无线通信系统的性能和容量。 OFDM由于其高频谱效率和对频率选择性衰落信道的鲁棒性,因此是一种有效且有前途的无线传输调制技术。但是,它具有较高的峰均比(PAPR),这是一个主要缺点。部分发射序列(PTS)是使用最广泛的技术之一,在降低MIMO-OFDM系统的PAPR方面具有更好的性能。然而,传统的PTS方法的计算复杂度是巨大的。提出了一种降低MIMO-OFDM系统PAPR的低复杂度混合子块分割PTS方案。出于分析目的,我们推导了所提出的分割方法的计算复杂度表达式,并与具有最佳峰均功率比(PAPR)降低性能的随机分割方法相比,分析了所提出的分割方法的计算复杂度。仿真结果表明,与随机分割方法相比,PAPR降低性能仅稍有下降。

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