Experimental Validation of Periodic Codes for PON Monitoring
Experimental Validation of Periodic Codes for PON Monitoring
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DOI：
10.1109/glocom.2009.5426278
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发表时间：
2009-11
期刊：
影响因子：
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通讯作者：
M. M. Rad-M.;H. Fathallah;S. Larochelle;Leslie Ann Rusch
中科院分区：
文献类型：
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作者：
M. M. Rad-M.;H. Fathallah;S. Larochelle;Leslie Ann Rusch
本文从实验和仿真两个方面研究了利用光编码技术对无源光网络中的光纤链路质量进行监测。我们使用了一种新的、简单且性价比高的编码方案，即周期编码，非常适合于监控应用。我们讨论了周期编码的设计问题和最优检测准则。我们提出了一种降低复杂度的最大似然序列估计(RC-MLSE)算法用于监测。我们使用我们设计和制造的四个周期编码器进行了实验来验证我们的检测算法。这些编码器被放置在大致相等的距离(在一米内)，以表示从非常高的密度(地理上)的PON的部分返回。测量数据被输入到我们的检测算法中，每个用户的准确位置被正确识别。利用编码器脉冲响应的实验数据，对随机分布用户的无源光网络地理分布进行了蒙特卡罗模拟。实现了无差错检测。我们还强调了平均的重要性，以弥补我们的监控系统中的电源/损耗预算限制，以支持更高的网络规模。
In this paper we investigate both experimentally and via simulation the monitoring of fiber link quality in a PON using optical coding technology. We use a new, simple and cost-effective coding scheme well adapted to the monitoring application, namely periodic coding. We discuss design issues for periodic coding and the optimal detection criteria. We develop a reduced complexity maximum-likelihood sequence estimation (RC-MLSE) algorithm for monitoring. We conduct experiments to validate our detection algorithm using four periodic encoders that we designed and fabricated. These encoders were placed at roughly equal distances (within a meter) to represent a partial return from a very high density (geographically) PON. The measured data were fed into our detection algorithm and the exact location of each subscriber was correctly identified. Using the experimental data for the encoder's impulse responses, we completed Monte-Carlo simulations for more realistic PON geographical distributions with randomly located customers. Error-free detection is achieved. We also highlight the importance of averaging to remedy the power/loss budget limitations in our monitoring system to support higher network sizes.