OFDM-IM的低复杂度峰均功率比降低

Ebubekir Memisoglu, E. Başar, H. Arslan
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引用次数: 12

摘要

指数调制正交频分复用(OFDM- im)是一种利用有源子载波的指数进行信息传输的技术,是传统OFDM的替代方案。由于IM传输的信息位,与OFDM相比,它提供了高频谱效率和高能量效率。然而,OFDM- im具有与OFDM相似的峰值平均功率比(PAPR)高的缺点,这一重要问题在文献中还没有得到很好的研究。主动星座扩展(ACE)可以解决OFDM-IM的这一缺点,它是一种著名的PAPR降低方法。由于这种减少PAPR的方法对OFDM-IM的效果较差,我们提出了通过在非活跃子载波上添加剪切信号来扩展星座的方法。这些子载波的信号功率受到上限的限制,这会导致误码率(BER)性能的轻微下降。计算机仿真结果表明,对于OFDM和OFDM- im,本文提出的方法具有比ACE方法更好的PAPR降低性能,同时在选择适当的削波阈值水平时,该方法在降低误码率性能方面更加节能。此外,该方法可以与ACE进一步结合,从而提高了PAPR的降低。为了将PAPR约简方法的计算复杂度降低到线性-对数水平,采用了智能梯度投影(SGP)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low Complexity Peak-to-Average Power Ratio Reduction in OFDM-IM
Orthogonal frequency division multiplexing with index modulation (OFDM-IM) employs the indices of the active subcarriers for information transmission, as an alternative to conventional OFDM. It offers high spectral efficiency and high energy efficiency in comparison to OFDM thanks to the information bits conveyed by IM. However, OFDM-IM has the drawback of high peak-to-average power ratio (PAPR) similar to OFDM, and this important problem has not been studied well in the literature. Active constellation extension (ACE), which is one of the well-known PAPR reduction methods, can be used to solve this drawback of OFDM-IM. Owing to the fact that this PAPR reduction method is less effective for OFDM-IM, we propose the extension of the constellation over inactive subcarriers through adding clipped signals over them. These subcarriers have a signal power limited by an upper bound, and this causes a slight degradation in the bit error rate (BER) performance. Computer simulation results demonstrate that our proposed method has a better PAPR reduction performance than the ACE method for OFDM and OFDM-IM while being more energy efficient with a very slight degradation in BER performance when a proper clipping threshold level is selected. Additionally, it is shown that the proposed method and ACE can be further combined, and this provides an improved PAPR reduction. In order to decrease the computational complexity of the PAPR reduction method to the linear-logarithmic level, smart gradient projection (SGP) is employed.
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