高速光通信激光器带宽模型改进与并行计算优化

为适应高速传输的网络需求,需要优化光线通信激光器特性。利用垂直腔面发射激光器(vertical cavity surface emitting laser, VCSEL)实测输出的数据,对激光器热传感模型进行改进。模型改进过程中,使用量子速率方程描述VCSEL的特性,考虑到增益常数与温度之间的关系,用高阶拟合方法优化激光器带宽系统,与实测数据更加接近。结合下一代高速网络需求,采用并行数据挖掘思想,利用缓冲器加快求解速度。结果表明:输出光功率在高温和大量注入电流下会出现热饱和下降;优化后的模型更贴近实测数据,遗传算法对于系统规模变化的适应性很强,给出的规划线路具备可靠性;基于状态机的并行数据处理方法使得模型计算速度提高了9.15%。在考虑热限制的同时,实现了新一代光纤通信高速传输需求。

Improvement of bandwidth model for high speed optical communicationlaser and its optimization by parallel computing

In order to adapt to high-speed network, features of optical fiber communication laser need to be optimized. Laser thermal sensing model was improved by measuring the data exported by vertical cavity surface emitting laser (VCSEL). In the modified model, the quantum rate equation was developed to describe features of laser VCSEL. Considering the relationship between the gain constant, the transparent current carriers and the temperature, the high order fitting method was introduced to optimize the laser bandwidth system, which maked it closer to the measured data. Meanwhile, based on the parallel data mining method, the buffer helped to speed up the solving process to satisfy the demand of the next-generation high-speed network. The results showed that the output light power appeared to decrease in thermal saturation under the high temperature and large injection current. The model after optimization was closer to the actual measured data, genetic algorithm had a strong adaptability towards scale change of system, and the route planned by algorithm was reliable. The calculation speed was increased by 9.15% based on parallel data processing method. This modified model met the demand of the new-generation high-speed fiber optic communication, and considered the thermal limitation.