Intelligent bandwidth-estimation technique for orthogonal frequency division multiplexing-based elastic optical networking
Intelligent bandwidth-estimation technique for orthogonal frequency division multiplexing-based elastic optical networking
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DOI：
10.1364/jocn.8.000938
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发表时间：
2016-12
期刊：
影响因子：
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通讯作者：
Hengying Xu;Yiqiao Feng;Jinjin Yuan;Xiaoguang Zhang;Chenglin Bai
中科院分区：
文献类型：
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作者：
Hengying Xu;Yiqiao Feng;Jinjin Yuan;Xiaoguang Zhang;Chenglin Bai
摘要：在基于正交频分复用（OFDM）的弹性光网络（EON）中，智能、快速、鲁棒地识别未知 OFDM 信号的参数势在必行。在这些参数中，应首先确定带宽，因为随后可以获得其他有用的参数，例如子载波数、波特率、频率间隔等。在本文中，据我们所知，我们首次提出了一种基于 OFDM EON 的智能带宽识别技术。该技术可分为三个子阶段：功率谱密度估计、基于经验模式分解的噪声过滤以及基于滑动窗口的带宽识别。当样本数固定为215个、光信噪比变化范围为15~25 dB时，仿真结果表明，2~40 GHz的带宽范围均可成功识别，最小分辨率为39.1 MHz，平均估计绝对精度（EAA）超过95%。此外，该技术对色散具有良好的容忍度，并且与子载波的数量和频率偏移无关。最后，我们通过一个基于 7.04 Gbps OFDM 的 EON 的实验验证了该技术的有效性，最小 EAA 为 94.12%，可以成功识别其带宽。
Abstract—In orthogonal frequency division multiplexing (OFDM)-based elastic optical networking (EON), it is imperative to identify the parameters of the unknown OFDM signal intelligently, quickly, and robustly. Among these parameters, the bandwidth should be the first to be identified for the reason that other useful parameters such as number of subcarriers, baud rate, and frequency spacing can be obtained subsequently. In this paper we propose, for the first time to our knowledge, an intelligent bandwidth-identification technique for OFDM-based EON. The proposed technique can be divided into three sub-stages: estimation of power spectrum density, noise filtering based on empirical mode decomposition, and bandwidth identification based on a sliding window. When the number of samples is fixed at 215 and the optical signal-to-noise rate varies from 15 to 25 dB, the simulation results demonstrate that a bandwidth range from 2 to 40 GHz can all be successfully recognized with a minimum resolution of 39.1 MHz, and the average estimation absolute accuracies (EAAs) exceed 95%. Moreover, the technique has a good tolerance to chromatic dispersion and is independent of the number of subcarriers and frequency offsets. Finally, we verify the effectiveness of this technique by an experiment involving a 7.04 Gbps OFDMbased EON with minimum EAA of 94.12%, in which its bandwidth can be successfully recognized.