Investigating Optical Transport Network Performance:A Recurrence Plot Approach

In future optical transport networks,lightpath performance analysis is of great practical significance for fully automated management.In general,the quality of transmission(QoT)of lightpaths,measured by optical quality factor or optical signal-to-noise ratio,has a complex time-varying process,along with the interactions of the other lightpath state parameters(LSPs),such as transmit power,chromatic dispersion,polarization mode dispersion.Current studies are mostly focused on lightpath QoT estimation,but ignoring lightpath-level data analytics.In this case,our article proposes a novel lightpath performance analysis method considering recurrence plot(RP)and cross recurrence plot(CRP).Firstly,we give a detailed interpretation on the recurrence patterns of LSPs via a qualitative 2-D RP representation and its quantitative measure.It can potentially enable the accurate and fast lightpath failure detection with a low computational burden.On the other hand,CRP is devoted to modeling the relationships between lightpath QoT and LSPs,and the correlation degree is determined by a geometric mean of multiple indexes of cross recurrence quantification analysis.From the view of application,such CRP analysis can provide the effective knowledge sharing to guarantee more credible QoT prediction.Extensive experiments on a real-world optical network dataset have clearly demonstrated the effectiveness of our proposal.

Management of transport of dangerous goods based on networking technology

Networking is the core area of national strategic emerging industry development of information industry; it will play an important role in national economic development. Currently, it is hot issue of global research at home and abroad regardless of the mention of its development of a national strategic level, it is called the third wave of the world information industry following the computer, and internet.

基于SOTN技术和5G网络切片技术的传输组网技术

为提升网络的传输效率和传输质量,研究基于软件定义光传送网(Software Optical Transport Network,SoTN)技术和第五代移动通信技术(5th Generation Mobile Communication Technology,5G)的传输组网技术。首先分析了5G传输网端到端架构存在的优势及不足,其次采用SOTN技术和5G网络切片技术设计了一种传输组网方案,最后进行实验分析。测试结果表明,该传输组网技术具有较好的应用效果,数据包的传输成功率均在90.00%以上,并且端到端的最大时延为16.11ms,能够保证网络的传输效果。

5G Flexible Optical Transport Networks with Large-Capacity, Low-Latency and High-Efficiency

The fifth generation(5G) of mobile communications are facing big challenges, due to the proliferation of diversified terminals and unprecedented services such as internet of things(IoT), high-definition videos, virtual/augmented reality(VR/AR). To accommodate massive connections and astonish mobile traffic, an efficient 5G transport network is required. Optical transport network has been demonstrated to play an important role for carrying 5G radio signals. This paper focuses on the future challenges, recent studies and potential solutions for the 5G flexible optical transport networks with the performances on large-capacity, low-latency and high-efficiency. In addition, we discuss the technology development trends of the 5G transport networks in terms of the optical device, optical transport system, optical switching, and optical networking. Finally, we conclude the paper with the improvement of network intelligence enabled by these technologies to deterministic content delivery over 5G optical transport networks.

Application of Neural Network in Fault Location of Optical Transport Network

Due to the increasing variety of information and services carried by optical networks, the survivability of network becomes an important problem in current research. The fault location of OTN is of great significance for studying the survivability of optical networks. Firstly, a three-channel network model is established and analyzing common alarm data, the fault monitoring points and common fault points are carried out. The artificial neural network is introduced into the fault location field of OTN and it is used to judge whether the possible fault point exists or not. But one of the obvious limitations of general neural networks is that they receive a fixedsize vector as input and produce a fixed-size vector as the output. Not only that, these models is even fixed for mapping operations (for example, the number of layers in the model). The difference between the recurrent neural network and general neural networks is that it can operate on the sequence. In spite of the fact that the gradient disappears and the gradient explodes still exist in the neural network, the method of gradient shearing or weight regularization is adopted to solve this problem, and choose the LSTM (long-short term memory networks) to locate the fault. The output uses the concept of membership degree of fuzzy theory to express the possible fault point with the probability from 0 to 1. Priority is given to the treatment of fault points with high probability. The concept of F-Measure is also introduced, and the positioning effect is measured by using location time, MSE and F-Measure. The experiment shows that both LSTM and BP neural network can locate the fault of optical transport network well, but the overall effect of LSTM is better. The localization time of LSTM is shorter than that of BP neural network, and the F1-score of LSTM can reach 0.961566888396156 after 45 iterations, which meets the accuracy and real-time requirements of fault location. Therefore, it has good application prospect and practical value to introduce neural network into the fault location field of optical transport network.

STUDY ON STRATEGY OF DYNAMIC JOINT ROUTING AND RESOURCE ALLOCATION IN LAYERED OPTICAL TRANSPORT NETWORKS

A layered network model for optical transport networks is proposed in this paper,which involves Internet Protocol(IP) ,Synchronous Digital Hierarchy(SDH) and Wavelength Division Mul-tiplexing(WDM) layers. The strategy of Dynamic Joint Routing and Resource Allocation(DJRRA) and its algorithm description are also presented for the proposed layered network model. DJRRA op-timizes the bandwidth usage of interface links between different layers and the logic links inside all layers. The simulation results show that DJRRA can reduce the blocking probability and increase network throughput effectively,which is in contrast to the classical separate sequential routing and resource allocation solutions.

OAM Technology of Packet Transport Network

The Packet Transport Network(PTN) technology includes Transport Multi-Protocol Label Switching(T-MPLS) and Provider Backbone Transport(PBT).T-MPLS is the simplified and reformed Multi-Protocol Label Switching(MPLS).It drops MPLS’connectionless features and its transport-unrelated forwarding processing,but adds the network model of the transport layer,protection switching and Operation,Administration and Maintenance(OAM) functionality.PBT enforces both OAM and protection functions,adds Time Division Multiplexing(TDM) business simulation and clock functions,and strengthens multi-service support capability.But PBT has no functions of traditional Ethernet address learning,address broadcast and Spanning Tree Protocol(STP).Both T-MPLS and PBT can well satisfy the requirements of packet transport.Compared to PBT,T-MPLS has better OAM functions.

基于OTN技术的电力光通信网络延时误码修正技术

为了保证电力大数据的完整和安全传输,并保证该数据的传输时效性,研究基于OTN技术的电力光通信网络延时误码修正技术。分析电力光通信网络中的延时和误码特性,结合分析结果和电力企业对光通信网络的传输需求,采用OTN技术优化电力光通信网络,保证电力大数据的传输可靠性。测试结果显示:混频效应指标结果均高于0.922,误码率指标均低于0.0085%;主、从时钟的最大偏差和平均偏差结果最大值分别为0.0031 ms和0.0007 ms;接收端风险均衡度和接收业务风险度的最高值分别为3.4%和1.05%,保证电力大数据传输时效性和完整性。

OTN技术在5G传送网中的应用

文章介绍了OTN技术的基本原理和特点,以及其在5G传送网中的应用,主要包括承载和传输5G业务、提供高可靠性和灵活性的传输方案、支持网络切片和云化部署等,为5G传送网的高效运营和优质服务提供坚实的基础。

OTN技术在高速公路传输网中的应用探讨

当前,OTN技术得到快速发展,实际应用范围也在不断拓展,如高速公路传输网的应用,有必要做好相关研究分析工作。文章分析了高速公路传输网中OTN技术的应用优势,探讨了OTN技术应用中存在的问题,给出了有效应用OTN技术的措施,旨在进一步提高高速公路传输网运行效率,保证高速公路运营管理的质效。

400 G OTN关键技术及在省内组网部署研究

现阶段在信息化时代的不断发展下,对于通信技术的高度重视已经成为世界各国不约而同的首要任务,作为通信技术的基石,传输网络提供的高可靠大带宽传输电路是各大运营商宽带网络稳定高强度运行的基础,是运营商各类业务有序发展的前提。因此,高速OTN传输平台作为输出核心,要在Nx100 G的技术已经有较为稳定的发展的基础上进行能力提升。本文对于400 G OTN关键技术进行研究,并探讨400 G OTN在大型运营商省内主干传输网络的规划部署与建议。

基于ACTN和SDOTN标准的SDN跨域管控研究

【目的】为了实现云光智能一体化,解决现有光网络业务部署慢的问题,文章给出了一种跨域跨厂商的端到端业务快速部署方法。【方法】通过分析现网跨域跨厂商业务部署现状,并结合基于流量工程网络抽象与控制(ACTN)标准和软件定义光传送网(SDOTN)标准,发现并解决现有软件定义网络(SDN)管控系统光业务智能一体化部署存在的问题,提出设备厂商SDN管控系统需要改进的方法和方向。【结果】测试验证表明,通过优化改进设备厂商的同步数字体系(SDH)管控系统,能够提升域内端到端业务的开通效率并实现跨域端到端业务的智能一键部署。【结论】测试结果证明,优化和改进设备厂商的SDN管控系统有利于云光智能一体化的业务开通。

基于OTN OSU协议的油气管道阀室通信网络方案

随着油气管道阀室通信网络逐渐扩张和承载业务的复杂化,现有的组网方案亟需进行升级更新。提出了基于光传送网光业务单元(OTN OSU)的油气管道阀室通信网络方案。首先,分析了油气管道阀室通信网络组网过程中面临的挑战,并概述了当前组网方案的现状;然后,引入OTN OSU协议对油气管道阀室通信光网络架构进行优化,并设计了工业级光传输客户前端设备(CPE)样机;最后,对方案进行现网环境测试验证。测试结果表明:所提方案有效改善网络时延,且支持多种业务承载,CPE样机功耗低于40 W,提升了网络效率。

Application of the Spectrum Peak Positioning Technology Based on BP Neural Network in Demodulation of Cavity Length of EFPI Fiber Optical Sensor

An Extrinsic Fabry-Perot Interferometric (EFPI) fiber optical sensor system is an online testing system for the gas density. The system achieves the measurement of gas density information mainly by demodulating the cavity length of EF- PI fiber optical sensor. There are many ways to achieve the demodulation of the cavity length. For shortcomings of the big intensity demodulation error and complex structure of phase demodulation, this paper proposes that BP neural net-work is used to locate the special peak points in normalized interference spectrum and combining the advantages of the unimodal and bimodal measurement achieves the demodulation of the cavity length. Through online simulation and actual measurement, the results show that the peak positioning technology based on BP neural network can not only achieve high-precision demodulation of the cavity length, but also achieve an absolute measurement of cavity length in large dynamic range.

基于OTN技术下电力通信传输网络优化措施的研究

在电力通信传输系统中,综合不同的运行工况、科学配置电力设备,并合理应用光传送网(Optical Transport Network,OTN)技术可以改善电力通信传输网络的整体性能。基于此,在智能电网建设发展中,主要简述OTN技术,讨论OTN技术在电力通信传输网络中的问题,基于色散、波长等因素,提出OTN技术的网络结构和拓扑、网络路由和光放大器系统优化措施。

Evolution of Optical Transport Networks and Their Solution in 3G Networks

As new generation mobile networks, 3G networks focus on data services and integrate voice, data and multimedia services. However, traditional Optical Transport Networks (OTNs) cannot meet the requirements of 3G networks anymore, because of their complicated configuration, low bandwidth efficiency, high cost, and bad network and service scalability. The emerging of Multi-Service Transport Platform (MSTP), Wavelength Division Multiplexing (WDM), and Automatically Switched Optical Network (ASON) technologies for optical fiber communications makes up for these weaknesses. The leading solution to 3G access transport networks is the MSTP technology based on Synchronous Digital Hierarchy (SDH), while that to 3G core transport network is ASON+WDM.

OTN光传送网DVB-ASI信号接口板卡国产化应用与优化研究

本文主要介绍在OTN光传送网中直接接入传输DVB-ASI信号的工作原理,针对DVB-ASI信号接口板卡在实际应用中所遇到的问题进行分析与研究,以及如何对DVB-ASI信号接口板卡的性能进行优化。本次优化工作实现了DVB-ASI信号直接在OTN光传送网更高质量传输适配的目标,在提高广播电视传输系统集约化水平和有效降低系统成本的基础上,减少了对国外技术的依赖,增强了相关技术的自主可控能力。

基于政企OTN专网技术的研究与泛化应用

随着金融、政府和医疗等行业的发展,各行各业对专线的需求日益增加,但政企OTN专网在建设过程中的可靠性指标还存在不足。针对该问题,本文提出了一种利用双节点DNI技术进行双归部署并进行多网融合的方法,增强了政企专网网络结构的可靠性,降低了专线投入成本,为OTN泛化应用提供理论和实践基础。

Study on Cognitive Optical Network Structure and Self-optimization with the Application of Artificial Intelligence Technology

Cognitive optical network is the intermediate to combine artificial intelligence technology with network,and also the important network technology to promote network intelligence level constantly.In the paper,it analyzes the cognitive optical network structure with the application of artificial intelligence technology by starting from the basic conditions of cognitive network and cognitive optional network on the basis of fully understanding the connotation of cognitive network and cognitive optical network,and explores its self-governance functions,so as to better realize the self-optimization and self-configuration of network.