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复杂值的循环神经网络等分器具有低复杂性,用于120Gbps50公里的光学PAM-4 IM/DD系统
Optics express
|November 14, 2024
概括
一个新的复杂值循环神经网络均衡器 (RNNE) 改进了光通信系统. 这种新型均衡器在120Gbps的PAM-4强度调制和直接检测系统中提高了性能.
科学领域:
- 光学通信是指光学通信.
- 信号处理 信号处理
- 人工智能的人工智能
背景情况:
- 强度调制和直接检测 (IM/DD) 系统对于高速光学网络至关重要.
- 四级脉冲振幅调制 (PAM-4) 被广泛用于增加数据速率.
- 传统的等分器在IM/DD系统中难以处理复杂的信号特征.
研究的目的:
- 引入一种新的复杂值循环神经网络均衡器 (RNNE).
- 为了评估复杂值的RNNE在120Gbps,50公里光学PAM-4 IM/DD系统中的性能.
- 在IM/DD系统中展示复杂值处理对实值信号的优点.
主要方法:
- 开发一个复杂值的循环神经网络均衡器 (RNNE).
- 将相邻的PAM-4符号映射到复杂域中,以保持信号相关性.
- 对复杂价值的RNNE与传统的实值RNNE进行实验验证.
主要成果:
- 拟议的复杂估值的RNNE与实际估值的RNNE相比表现优越.
- 在3.8 × 10^-3.的7%的空头前期错误校正BER值下,实现了1.38dB的系统功率预算增长.
- 复杂值处理在IM/DD系统中的实值信号中被证明是有利的.
结论:
- 复杂值的RNNE为高速光学IM/DD系统提供了显著的改进.
- 拟议的方法通过利用复杂的域有效地保持信号相关性.
- 复杂值的RNNE是未来光通信均等化的有前途的技术.
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