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A novel bio-inspired optimization algorithm for solving peak-to-average power ratio problem in DC-biased optical systems
Optical Fiber Technology ( IF 2.6 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.yofte.2020.102383
Hojjat Emami , Abbas Ali Sharifi

Abstract 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 sub-carriers due to the non-linearity of the fiber optics and some devices such as power amplifiers and analog-to-digital 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.

中文翻译:

一种解决直流偏置光学系统峰均功率比问题的新型仿生优化算法

摘要 本文引入了树生长优化(TGO)算法来降低部分发射序列在探索最佳相位因子时的计算复杂度。所提出的TGO算法是降低光正交频分复用信号高峰均功率比的有效方法。由于光纤和一些设备(例如功率放大器和模数转换器)的非线性,峰均功率比的问题会导致子载波之间的互调。使用一组基准评估所提出算法的性能,并与几种对应方法进行比较。结果表明,TGO 在解决方案质量和计算复杂性方面优于其同行。
更新日期:2020-12-01
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