通过实验数据驱动优化激光直接调制系统，提升传输性能并降低功耗。
Experimental End-to-End Optimization of Directly Modulated Laser-based IM/DD Transmission
- 基于实验数据训练代理模型，端到端优化调制参数与滤波器设计。
- 在不同速率和距离下均优于4种基准方案，且功耗更低、带宽更小。
- 适合短距光通信系统设计，尤其关注能效与硬件简化场景。
直接调制激光器（DML）是短距离强度调制与直接检测通信系统的理想选择，但其复杂的非线性动态特性使建模与优化极具挑战。本文提出一种基于实验数据训练的数据驱动代理模型，实现对DML系统端到端优化，涵盖脉冲成形与均衡滤波器、偏置电流及激光调制射频功率。该优化方案在实验平台上验证，并与四种基于线性与非线性接收端均衡的基准方案对比。结果表明，在所研究的符号速率与传输距离范围内，该方案性能更优，同时使用更低的调制射频功率、更少滤波器抽头数及更小信号带宽。
原文摘要 · Abstract (English)
Directly modulated lasers (DMLs) are an attractive technology for short-reach intensity modulation and direct detection communication systems. However, their complex nonlinear dynamics make the modeling and optimization of DML-based systems challenging. In this paper, we study the end-to-end optimization of DML-based systems based on a data-driven surrogate model trained on experimental data. The end-to-end optimization includes the pulse shaping and equalizer filters, the bias current and the modulation radio-frequency (RF) power applied to the laser. The performance of the end-to-end optimization scheme is tested on the experimental setup and compared to 4 different benchmark schemes based on linear and nonlinear receiver-side equalization. The results show that the proposed end-to-end scheme is able to deliver better performance throughout the studied symbol rates and transmission distances while employing lower modulation RF power, fewer filter taps and utilizing a smaller signal bandwidth.
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