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20 April 2019, Volume 35 Issue 4

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Topic:all optical network technology and application

Analysis on the progress of all-optical network standardization and technology development

Rui TANG, Geng ZHANG, Bingbing WU, Wenyu ZHAO, Haiyi ZHANG

2019, 35(4):  1-9.  doi:10.11959/j.issn.1000-0801.2019067

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All-optical network has been considered as the ultimate goal of the optical communication network.With the development of liquid crystal and MEMS technologies and the maturity of configurable optical devices such as WSS,all-optical network has once again become the focus of research and application.Based on the technical status and system architecture of the all-optical network,the technical problems to be solved in the all-optical network were discussed,the latest developments in standardization research were sorted out,the typical problems existing in the all-optical network standardization were further analyzed,and its future developments were finally forecasted.

Research and application practice of China Telecom in all-optical network

Jianjun TANG,Junjie LI,Chengliang ZHANG

2019, 35(4):  10-15.  doi:10.11959/j.issn.1000-0801.2019073

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With the advancement of national strategies such as “Broadband China” and “Speed-up and Fee-reduction”,network traffic is growing rapidly.The pressures of the space and the power supply in many equipment building of telecommunication operators are huge.All-optical network technology will effectively alleviate these pressures.Based on the analysis of the concept and connotation of all-optical network,the application value and practice of all-optical network were discussed.And the problems faced by the current all-optical network were analyzed and the future development of technology was forecasted.

Technology development and evolution trend of all-optical switching networks

Min ZHOU,Jian ZHANG,Yin WANG

2019, 35(4):  16-23.  doi:10.11959/j.issn.1000-0801.2019085

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In the 5G era,growth of network traffic is driven by the development of emerging services,especially the burst of east-west traffic.The network evolved from a multi-layered planar architecture to a three-dimensional architecture,thereby promoting the development and application of all-optical switching technology.The development and technology evolutions of optical switching architecture were introduced,the key enabling technologies and applications of all-optical switching equipment were described,and the future trends of all-optical switching technology were discussed.

Development and trend prospect of “tri-ultra” optical fiber communication system technology

Yonghua FENG,Xiang LI,Quan CAO,Zhixia GUO

2019, 35(4):  24-32.  doi:10.11959/j.issn.1000-0801.2019082

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The development of optical fiber communication system was reviewed and the demand and possible solutions of optical fiber communication technology in the next 20 years were introduced by reviewing the development of optical fiber communication system in the past 20 years and the current research status of “ultra-high speed,ultra-large capacity and ultra-long distance” optical fiber communication system.

Intelligent metro optical networks and key optical components

Li XIAO,Zhilin YUAN,Chengpeng FU,Weidong MA

2019, 35(4):  33-40.  doi:10.11959/j.issn.1000-0801.2019081

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Driven by the background of escalating internet traffic,the requirements of intellectualization and flexibility on metro optical transportation networks were dramatically increasing,which promoted network architecture revolution.ROADM network element and its dynamic networking technology which played the core role in intelligent all-optical metro networks were introduced.Metro network was cost sensitive,thus low-cost key optical components as the keys for physical realization of ROADM network element were studied,as well as decoupled white box optical components and their programmability.It was concluded that the low cost white box ROADM network elements were the key and effective means for optical metro networks intelligentialization.

All-optical network enabling technologies

Yiran MA, LARKEI C

2019, 35(4):  41-46.  doi:10.11959/j.issn.1000-0801.2019083

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As one of the most important parts of all-optical networks,ROADM brings benefits such as flexibility,low-power consumption,cost and efficient utilization of network resources.Consequently they have been deployed in volume over recent years in backbone and metro networks.The WSS,the key component of the ROADM,was described,followed by a description of the features and challenges of next generation WSS designs.Finally,the CDC ROADM,which was the likely next evolutionary step for the ROADM,was investigated along will the necessary components development.

Vector signal processing techniques for all-optical networks

Zhen XING,Hongxiang WANG,Yuefeng JI

2019, 35(4):  47-61.  doi:10.11959/j.issn.1000-0801.2019079

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The all-optical vector signal processing technology is of great significance in the evolution of optical network due to its low delay and high efficiency.Therefore,a comprehensive introduction to the technical background and application scheme of the current all-optical signal processing was given.The all-optical signal modulation format was firstly introduced,and the basic characteristics and receiving modes of each modulation format were described.Furthermore,the nonlinear optical effects,which were the basis of all-optical signal processing,were classified and introduced.The occurrence conditions,occurrence process,optical phenomena and common nonlinear media were also illustrated.The advantages of all-optical signal processing technology were briefly introduced and three typical research fields of all-optical signal regeneration,all-optical format conversion and all-optical phase quantization were introduced in detail.Finally,the application prospect of future all-optical vector signal processing technology was prospected.

Trends and enabling technologies on high-speed metro and short-reach optical transmission systems

Lei ZHANG,Yixiao ZHU,Fan ZHANG,Zhangyuan CHEN

2019, 35(4):  62-73.  doi:10.11959/j.issn.1000-0801.2019074

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The optical fiber communication network is the important infrastructure for the modern information society.Thanks to the reduction of fiber loss,the improvement of transceiver devices by electro-optical-electrical conversion,the development of modulation technology and the introduction of digital signal processing,the capacity of optical fiber transmission has been greatly improved.In recent years,due to the large capacity demand of data-centers and the next-generation wireless communication,metro and short-range transmission scenarios below 100 km have attracted lots of attention based on direct detection.The historical evolution of optical fiber communication systems was firstly reviewed,then the limiting factors in the direct detection system were analyzed.Furthermore,the principle and system configuration of one-dimensional to four-dimensional self-coherent technology were introduced,and finally,the low-cost evolution trend of the optical coherent transmission system was prospected.

summarize

A survey on edge computing offloading

Youkang ZHU,Guangxue YUE,Xiaohui YANG,Jiansheng LIU

2019, 35(4):  74-94.  doi:10.11959/j.issn.1000-0801.2019059

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Edge computing integrate the computing,storage and other resources on the edge of the network into a unified user service platform.According to the principle of nearest service,the network edge node task request is timely and correspondingly processed.Computational migration is a key issue in edge computing due to limited edge node capabilities,resources,bandwidth,and energy.The causes,evolution and development trends of mobile edge computing were reviewed from the distributed computing,pervasive computing,cloud computing to edge computing as the main line.The characteristics of computing migration at each stage were compared and analyzed,and the classical models were reviewed.The latest research progress and application fields of edge computing were focused on,mobile edge computing models based on energy optimization management were researched and compared.Finally,a time division multiple access based multi-user edge mobile terminal computing migration strategy system for LTE applications was proposed.

Running the ai column

Empowering MNOs with AI in 5G era

Siyu PAN,Yunyong ZHANG,Rongfang ZHANG,Di ZHANG

2019, 35(4):  95-102.  doi:10.11959/j.issn.1000-0801.2019068

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As the next generation of telecommunication standard and technology,5G makes it possible for the network to support more advanced technologies like IoT,VR/AR,etc,due to its unique features,high bandwidth and low latency.Those mushrooming new application scenarios and service demand has been bringing MNOs (mobile network operators) huge opportunities as well as challenges.With the development of AI and machine learning technology,MNOs can not only upgrade their own business but also enter more fields with the advantage of “data tunnel” to provide customized solutions for consumers.How AI can empower the MNOs in 5G era from 5 aspects was represented.First of all,the possible challenges brought by 5G were introduced.What entailed was the necessity and feasibility.Then,3 points where MNOs could focus on to carry out AI technologies were discussed,as namely intelligent network,intelligent marketing and service and industrial internet.Finally,the possible difficulties faced by MNOs when applying AI technologies in the future were forecasted.

SoftCOM AI,autonomous driving telecom network solution

Bing ZHAO,Zhimin LIU,Yiming YUAN,Tao HAN

2019, 35(4):  103-113.  doi:10.11959/j.issn.1000-0801.2019080

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At present,AI has risen to become the core strategy for the transformation and upgrading of science and technology in various countries.Under the background of the internet of everything,all walks of life have set off a research boom of AI.The telecom industry is no exception.As the carrier network faces the challenge of digital transformation,the automatic driving of the telecommunication network through AI technology has gradually become the consensus of the industry.Huawei’s SoftCOM AI solution for autopilot and its deployment methods,values and cases were introduced .

Review on artificial intelligence chip technology system

Yuxia SHI

2019, 35(4):  114-119.  doi:10.11959/j.issn.1000-0801.2019063

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Artificial intelligence technology is the new focus of current countries.The development of artificial intelligence technology has put forward new requirements for computing chips.Deep learning algorithms require the training of massive data,while traditional computing architectures can’t support the large-scale computing requirements of deep learning algorithms.Therefore,artificial intelligence chips of new architectures emerge one after another.The different technical routes of artificial intelligence chips were analyzed,the characteristics of different routes were compared,the development trend of artificial intelligence chip industry and studied,the opportunities and challenges of artificial intelligence chip development in China were analyzed,and the future development of artificial intelligence chip technology was forecasted.

Association and application in XDR and MR data

Tao LIU,Tao WU,Bin WANG

2019, 35(4):  120-130.  doi:10.11959/j.issn.1000-0801.2019057

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Based on the XDR and MR data records of O domain and combining with the development and practice in big data and machine learning technologies,the analysis of impact factors of correlation rate and accuracy was described in detail via practice with the help of technology of association of XDR and MR data records.By means of the integration of machine learning technology and fingerprint localization algorithm,the position accuracy was promoted constantly using the random forest algorithm,and the rasterization of associated data was realized.Simultaneously,the innovative application scenarios and directions applied to planning,network,customer and market were proposed.Finally,to verify the prospect of the association of XDR and MR data records,two examples in network construction,maintain and market were enumerated.

Construction of intelligent evolution network based on outbound call

Hua REN,Di YANG,Shaomin WANG

2019, 35(4):  131-138.  doi:10.11959/j.issn.1000-0801.2019084

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With the obvious improvement of various telecom business demands,the outbound call industry,which is the main channel for marketing,resolution and notification of telephone services under the traditional mode,is facing more and more pain points,including market,personnel,training,customer sentiment,cost,accurate data and people flow in all aspects.In order to realize the cost reduction and efficiency increase,inject wisdom and improve capability of telecom services,the main needs of the existing network outbound call system were combined with the application of artificial intelligence and big data technology in the field of outbound calls,aim to build intelligent and high efficiency.A discussion of the feasibility of the program was given based on the network construction involved in the efficiency of the "smart outbound system".

Intelligent cloud guidance technology based on natural language learning

Renjie TANG,Tao JIANG,Qiaojie YANG

2019, 35(4):  139-145.  doi:10.11959/j.issn.1000-0801.2019078

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The main problems existing in the current guidance system were analyzed.According to the intelligent guidance system researched in the current academic circles,a self-learning system for the disease which based on a large number of patient condition descriptions using a variety of machine learning algorithms was creatively proposed.The platform used Web crawler technology to obtain setting of the international and domestic medical institution departments and a large number of patient descriptions,which form a pathological knowledge base and a disease self-reported knowledge base.At the same time,the algorithm was innovatively constructed to combine the attention model with TextCNN to improve the accuracy of the consultation.

Application of image detection techniques in telecom operation and maintenance system

Bo FAN,Yun QIU,Lei SHEN

2019, 35(4):  146-152.  doi:10.11959/j.issn.1000-0801.2019086

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With the development of telecom industry,growing web service operations need more people to maintain the quality of the service.In the branch of telecom operation service,installation and maintenance service,the service quality is evaluated by human through assessing picture of construction site.The traditional way of evaluating quality of operation service brings low accuracy and high labor cost.In recent years,image recognition technology developed well with the deep learning raised,the related application field were broaden.If image recognition techniques were applied in telecom operation and maintenance system,the labor cost would be saved and the recognition accuracy would be improved.Several image recognition techniques were applied in installation quality assessment of telecom operation and maintenance system,and the performance and accuracy were analyzed.Based on analysis,a combining image recognition model was further proposed.The image recognition accuracy and efficiency of quality assessment was improved.