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A novel bio-inspired optimization algorithm for solving peak-to-average power ratio problem in DC-biased optical systems

机译:一种新型生物启发优化算法,用于求解DC偏置光学系统中的峰平均功率比问题

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摘要

In this paper, a tree growth optimization (TGO) algorithm is introduced to diminish the computational complexity of the partial transmit sequence in exploring the optimal phase factors. The proposed TGO algorithm is an efficient method for reducing the high peak-to-average power ratio of optical orthogonal frequency division multiplexing signals. The problem of the peak-to-average power ratio causes inter-modulation between subcarriers due to the non-linearity of the fiber optics and some devices such as power amplifiers and analog-todigital converter. The performance of the proposed algorithm is evaluated using a set of benchmarks and compared with several counterpart methods. The results reveal that the TGO outperforms its counterparts in terms of solution quality and computational complexity.
机译:在本文中,引入了树生长优化(TGO)算法以减少探索最佳阶段因子的部分发射序列的计算复杂性。所提出的TGO算法是降低光正交频分复用信号的高峰平均功率比的有效方法。由于光纤的非线性和一些设备,例如功率放大器和模拟签发转换器,因此峰值平均功率比的问题导致子载波之间的互移。使用一组基准进行评估所提出的算法的性能,并与几种对应方法进行比较。结果表明,在溶液质量和计算复杂性方面,TGO表明其对应力表现优于其对应物。

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