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Few-mode fibre-optic microwave photonic links

Light(Science & Applications) 2017年第1期6卷 684-691页

作者： He Wen Hongjun Zheng Qi Mo Amado Manuel Velázquez-Benítez Cen Xia Bin Huang Huiyuan Liu Huang Yu Pierre Sillard Jose Enrique Antonio Lopez Rodrigo Amezcua co.rea Guifang Li CREOL The College of Optics and PhotonicsUniversity of Central FloridaOrlandoFL 32816USA The co.lege of Precision Instruments and Opto-Electronics Engineering Tianjin UniversityTianjin 300072China School of Physics Science and Information Technology Shandong Provincial Key Lab of Optical Communication Science and TechnologyLiaocheng UniversityShandong 252059China State Key Laboratory of Optical co.munication technologies and Networks FiberHome Telecommunication Technologies Co.LtdWuhan Research Institute of Posts and TelecommunicationsNo.88 Youkeyuan RoadHongshan DistrictWuhan 430074China Prysmian Group Parc des Industries Artois FlandresHaisnes 62092France

The fibre-optic microwave photonic link has beco.e one of the basic building blocks for microwave *** the optical power at the receiver is the best way to improve all link performance metrics including gain,noise figure and dynamic *** though lasers can produce and photodetectors can receive optical powers on the order of a Watt or more,the power-handling capability of optical fibres is orders-of-magnitude *** this paper,we propose and demonstrate the use of few-mode fibres to bridge this power-handling gap,exploiting their unique features of small aco.sto-optic effective area,large effective areas of optical modes,as well as orthogonality and walk-off among spatial *** specially designed few-mode fibres,we demonstrate order-of-magnitude improvements in link performances for single-channel and multiplexed *** work represents the first step in few-mode microwave *** spatial degrees of freedom can also offer other functionalities such as large,tunable delays based on modal dispersion and wavelength-independent lossless signal co.bining,which are indispensable in microwave photonics.

关键词： analogue optic-fibre link few-mode fibre fibre nonlinearity microwave photonics space-division multiplexing

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A hybrid model for high spatial and temporal resolution population distribution prediction

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International Journal of Digital Earth 2022年第1期15卷 2268-2295页

作者： Yuhang Zhang Yi Zhang Bo Huang Xin Liu Tsinghua-Berkeley Shenzhen Institute Tsinghua UniversityShenzhenPeople’s Republic of China Institute of Future Human Habitats Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhenPeople’s Republic of China Department of Geography and Resource Management The Chinese University of Hong KongShatinHong KongPeople's Republic of China Huawei technologies co. Ltd.ShenzhenPeople’s Republic of China

The accurate prediction of population distribution is crucial for numerous applications,from urban planning to epidemiological *** one-week data co.lected from open and multiple sources,including telecommunication activity,weather,point of interest,buildings,roads,and land use in Milan,Italy,we develop a hybrid method co.bining cellular automata(CA)and long short-term memory(LSTM)to predict population distribution with fine temporal and spatial ***,the co.volutional autoenco.er and LightGBM are applied to identify missing building types based on the pedestrian *** LSTM learns the transition rules of CA and Shapley additive explanations value is used for variable importance *** demonstrate that the co.bination of co.volutional autoenco.er and LightGBM is effective in building type *** proposed model for population distribution prediction outperforms LSTM,the co.bination of CA and neural network,and the co.bination of CA and LightGBM by at least 5–10%.A variable importance analysis reveals that temporal variables are the most significant for prediction,followed by spatial and natural *** order of hour,housing-related variables,and types of precipitation are the most important variables in each category.

关键词： Cellular automata long short-term memory spatial and temporal analysis big data population distribution

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Network Meets ChatGPT:Intent Autonomous Management,co.trol and Operation

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Journal of co.munications and Information Networks 2023年第3期8卷 239-255页

作者： Jingyu Wang Lei Zhang Yiran Yang Zirui Zhuang Qi Qi Haifeng Sun Lu Lu Junlan Feng Jianxin Liao State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100000China China Unico. Network co.munications co. Ltd.Beijing 100000China China Mobile Research Institute Beijing 100000China

telecommunication has undergone significant transformations due to the co.tinuous advancements in internet technology,mobile devices,co.petitive pricing,and changing customer ***,the most recent iteration of OpenAI’s large language model chat generative pre-trained transformer(ChatGPT)has the potential to propel innovation and bolster operational performance in the telecommunications ***,the exploration of network resource management,co.trol,and operation is still in the initial *** this paper,we propose a novel network artificial intelligence architecture named language model for network traffic(NetLM),a large language model based on a transformer designed to understand sequence structures in the network packet data and capture their underlying *** co.tinual co.vergence of knowledge space and artificial intelligence(AI)technologies co.stitutes the co.e of intelligent network management and ***-modal representation learning is used to unify the multi-modal information of network indicator data,traffic data,and text data into the same feature ***,a NetLM-based co.trol policy generation framework is proposed to refine intent incrementally through different abstraction ***,some potential cases are provided that NetLM can benefit the teleco. industry.

关键词： network management and co.trol architecture generative pre-trained transformer intent-based networking NetLM network knowledge

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Metasurface-enabled polarization-independent Lco. spatial light modulator for 4K resolution and beyond

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Light(Science & Applications) 2023年第7期12卷 1391-1400页

作者： Zhaoxiang Zhu Yuanhui Wen Jiagi Li Yujie Chen Zenghui Peng Jianxiong Liz Lei Zhu Yunfei Wu Lidan Zhou Lin Liu Liangjia Zong Siyuan Yu State Key Laboratory of Optoelectronic Materials and technologies School of Electronics and Information TechnologySun Yat-sen UniversityGuangzhou 510275China Huawei technologies co. Ltd.BantianLonggang DistrictShenzhen 518129China State Key Laboratory of Applied Optics Changchun Institute of OpticsFine Mechanics and PhysicsChinese Academy of SciencesChangchun 130033China

With the distinct advantages of high resolution,small pixel size,and multi-level pure phase modulation,liquid crystal on silico.(Lco.)devices afford precise and reco.figurable spatial light modulation that enables versatile applications ranging from micro-displays to optical ***,Lco. devices suffer from a long-standing problem of polarization-dependent response in that they only perform phase modulation on one linear polarization of light,and polarization-independent phase modulation-essential for most applications-have had to use co.plicated polarization-diversity *** propose and demonstrate,for the first time,an Lco. device that directly achieves high-performance polarization-independent phase modulation at telecommunication wavelengths with 4K resolution and beyond by embedding a polarization-rotating metasurface between the Lco. backplane and the liquid crystal phase-modulating *** verify the device with a number of typical polarization-independent application functions including beam steering,holographical display,and in a key optical switching element-wavelength selective switch(WsS),demonstrating the significant benefits in terms of both co.figuration simplification and performance improvement.

关键词： polarization beyond modulator

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The Technology Evolution of Optical Integration in the Optical Active Devices

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材料科学与工程（中英文版） 2010年第3期4卷 80-84页

作者： Hongchun Xu State Key Laboratory of Optical co.munication technologies and Networks Wuhan Telecommunication Devices Co. Ltd. Wuhan430074 China

Based on the analysis of application and development of optical integration technology in the optical active devices, this paper presents an overview on the basic optical integration platform such as SiOB (Silico. Optical Bench), PLC (Planar Lightwave Circuit), PIC (Photonic Integration Circuit) as well as OEIC (Optical and Electronic Integration Circuit). Also, the evolution trend and the prospective development are demonstrated and in co.clusion the OEIC hybrid integration of Ⅲ-Ⅴ and silico. would be the future way of the optical integration technology evolution.

关键词：光集成技术光有源器件演进可编程控制器光电集成集成平台平面光波电子集成

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Research on Power Load Forecasting and Visualization Method Based on Deep Neural Network

Research on Power Load Forecasting and Visualization Method ...

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第三届材料科学应用与能源材料国际研讨会

作者： Yifei Wang Xian Li Shuang Mo State Grid Jibei Information and telecommunication co.pany School of co.puter Beijing University of Posts and Telecommunications

Short-term load forecasting（STLF） has attracted much attention in the last decade, which uses data from historical power grid operation monitor to forecast future power demand for a few days. Previous works on STLF mainly focus on features, which are widely used to capturing external factors in power system. There are also approaches based on physics, which use linear co.bination of active and reactive power co.sumption to model dynamics of power demand. However, in many real-world applications they don’t work well. In the self-service power grid, STLF is a very important part in power scheduling and planning. But STLF is a challenging task for its co.plex power demand and the effects of weather. In this paper, we study the problem of co.bination of co.plex and seasonality of power demand, as well as effect of external weather. Therefore, we co.e up with an approach, called DNNCast, it’s a model based on deep neural network, which can achieve a good accuracy and fast training speed. In the structure it uses a deep neural network to model various power loads and external weather co.ditions. Finally, with visualization tools we can wisely make decision about power scheduling and planning. co.pared with the current STLF methods, our model has a better prediction effect, and faster in the experiments of the extended experiment on 133 real power datasets.

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Next Decade of telecommunications Artificial Intelligence

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CAAI Artificial Intelligence Research 2022年第1期1卷 28-53页

作者： Ye Ouyang Lilei Wang Aidong Yang Tongqing Gao Leping Wei Yaqin Zhang AsiaInfo technologies(China)ltd. Beijing 100193China China Mobile co.munications Group co. Ltd.Beijing 100032China China Teleco. Group co.poration Beijing 100033China Institute for AI Industry Research Tsinghua UniversityBeijing 100084China

It has been an exciting journey since the mobile co.munications and artificial intelligence(AI)were co.ceived in 1983 and *** both fields evolved independently and profoundly changed co.munications and co.puting industries,the rapid co.vergence of 5th generation mobile co.munication technology(5G)and AI is beginning to significantly transform the co.e co.munication infrastructure,network management,and vertical *** paper first outlined the individual roadmaps of mobile co.munications and AI in the early stage,with a co.centration to review the era from 3rd generation mobile co.munication technology(3G)to 5G when AI and mobile co.munications started to *** regard to telecommunications AI,the progress of AI in the eco.ystem of mobile co.munications was further introduced in detail,including network infrastructure,network operation and management,business operation and management,intelligent applications towards business supporting system(BSS)&operation supporting system(OSS)co.vergence,verticals and private networks,*** the classifications of AI in telecommunication eco.ystems were summarized along with its evolution paths specified by various international telecommunications standardization *** the next decade,the prospective roadmap of telecommunications AI was *** line with 3rd generation partnership project(3GPP)and International telecommunication Union Radioco.munication Sector(ITU-R)timeline of 5G&6th generation mobile co.munication technology(6G),the network intelligence following 3GPP and open radio access network(O-RAN)routes,experience and intent-based network management and operation,network AI signaling system,intelligent middle-office based BSS,intelligent customer experience management and policy co.trol driven by BSS&OSS co.vergence,evolution from service level agreement(SLA)to experience level agreement(ELA),and intelligent private network for verticals were further *** paper is co

关键词： artificial intelligence(AI) mobile co.munication 5th generation(5G) general purpose technology(GPT) network intelligence intent-based network network AI signaling system

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