摘要:Nowadays,experts in the field of internet have reached a consensus that the deployment of IPv6 is not the whole of the next generation internet,but the starting of the next generation internet innovation.The requirements of cloud convergence and 5G application scenarios were analyzed,the functions and performance requirements of typical application scenarios were combed,and the IPv6+ technology innovation of the next generation internet was summarized.
摘要:The vision of IPv6+ is to unleash the potential of IPv6 technology with necessary extensions and enhancement,so as to meet the requirement in 5G and cloud era to IP network,such as high scalability,high reliability,new services and intelligence network.IPv6+ consists of a series of protocol and technology innovation:such as SRv6 network programming,network slicing (VPN+),in-situ flow information telemetry (iFIT),next generation multicast (BIER),service function chaining (SFC),deterministic networking (DetNet),and application-aware IPv6 networking (APN6).These technologies are currently under development in several standard organizations,and can be classified into three phases.Standardization is one of the most important work of IPv6+ innovation.The standard system of IPv6+ technologies were defined,including the related standard organization,the whole picture of the IPv6+ standards,the three phases of IPv6+ standardization and key technologies and standard layout of each phase.
摘要:As the key technology of the new generation IP network,SRv6 has gradually become the direction of network evolution in the 5G and cloud networks.The problems how to solve the problems of excessive head overhead,low payload efficiency,and difficult upgrading from the existing network has become the focus of the industry.Based on this technical problem,header compression design principles were proposed firstly,including mechanism compatible with standard SRv6 header encapsulation,inheriting the advantages of standard SRv6 and IPv6,compatible with existing network address plan,achieving an effective balance of compression efficiency and processing performance,and interconnecting with existing networks.Secondly,a G-SID header compression solution was proposed based on common prefix stitching,the key technical capabilities of G-SID container,COC flavor,and SID index were defined,and a network orchestration solution for mixed deployment of compressed and uncompressed networks was proposed.Finally,the progress of the G-SID solution in the industry’s international standards was introduced,and has been verified by the interoperability of multi-vendor equipment,and the pilot deployment on the existing network was planned to promote the rapid deployment of SRv6 on the entire network.
摘要:5G bearer network slicing technology is the basis for meeting differentiated QoS assurance needs of 5G services,especially in vertical industry scenarios.Using key IPv6+ technologies with bearer network slice at the network infrastructure layer,the network slice instance layer,and the network slice management layer has been studied.Taking Beijing Unicom as an example,the objective,application scenarios,evolution plans,existing problems and suggestions of the evolution of smart MAN to IPv6+ based bearer network slice were introduced.
摘要:Internet applications have different needs for network bandwidth,latency,jitter,and packet loss.However,the fact that the network and applications are decoupled makes it difficult for the network to be aware of an application’s requirements and ensure its quality of service (e.g.,service level agreement,SLA).A framework called application-aware IPv6 networking (APN6) was proposed,which could encapsulate applications’ requirements into packets.Networks could be aware of an application’s requirements and perform traffic steering and network resource adjustment.Besides,a secure access control mechanism was designed to solve application information forgery and tampering issues in APN6,which ensured that APN6 only provided services to legal users.
摘要:5G and cloud era has come,SRv6 and EVPN are the key technologies in the evolution of cloud network integration.The development process of network protocol was reviewed,the birth background,technical principles and advantages of SRv6 and EVPN were analyzed,and the application scenarios and deployment strategies of SRv6+EVPN were studied combined with the STN architecture of China Telecom 5G bearer network,China Telecom 5G development strategy and 2B service.Finally,the actual situation of China Telecom’s STN deployment of SRv6+EVPN was introduced,and the overall deployment of SRv6+EVPN technology in metropolitan + backbone cloud network integration infrastructure was forecasted.
摘要:The financial backbone network is an important part of the basic network platform of financial institutions.Under the current background of the country’s promotion of data center cloudification and IPv6,the technical architecture of the financial backbone network must also be optimized and evolved.Based on this research,the application of SRv6 Policy in the financial backbone network was explored.Firstly,the existing problems of traditional solutions based on the current situation of the financial backbone network were analyzed; then the technical advantages and implementation principles of SRv6 Policy were explained.Finally,the application and deployment of SRv6 Policy in the financial backbone network was studied and explored,combined with the management strategy of financial institutions on the business traffic in the backbone network,and optional intelligent tuning solutions were provided for congestion avoidance and path planning scenarios,which further enhanced the stability of the financial backbone network and the ability to guaranteed traffic transmission,and the application feasibility of SRv6 Policy in the financial backbone network was initially verified.
摘要:With the advent of the fourth industrial revolution,human society is gradually marching towards the fully connected,intelligent era.The intelligent era needs more automated and intelligent IP network,and the IPv6+ technology family represented by SRv6/BIERv6 is the key foundation for enabling a new generation of IP networks.The technical connotation of IPv6+ was comprehensively described,Huawei's innovation and thinking on IPv6+ solutions were relied on,key technologies and typical applications of IPv6+ in multiple solution scenarios such as simplified connection,SLA guarantee,private network experience,quality perception,and cloud-network integration,helping 5G and cloud business development were introduced.
摘要:Time-sensitive networking (TSN) provides end-to-end data transmission with extremely low-latency and high-reliability over ethernet,which is suitable for time-sensitive applications,widely used in automatic driving,industry of internet and other scenarios.Firstly,the characteristics of TSN were summarized,the working principles and features of TSN standards were elaborated in detail,the network technology that provided deterministic and reliable data transmission in wireless network was especially introduced,as wireless TSN technology.In addition,the application cases of TSN were briefly analyzed.The challenges and problems of TSN and wireless TSN technology and their application in industrial scenarios were discussed,and the future research directions were prospected.
摘要:For the mmWave MIMO system using a partially-connected structure,in order to improve the spectral efficiency,the antenna composition of each subarray will be dynamically adjusted according to the channel conditions.However,the optimal grouping of antennas requires exhaustive searching for all possible antenna combinations according to certain criteri,which leads to unacceptable complexity.In response to the problem,a low-complexity sub-array dynamic allocation method was proposed.The core was to introduce certain rules when grouping array elements,thereby significantly reducing the number of combinations and reducing the search range.Specifically,two low-complexity antenna combination algorithms were proposed.Firstly,considering the strong correlation between mmWave antennas,multiple adjacent antennas were virtualized as an array element,thereby reducing the search space.Secondly,by dividing all antennas into upper and lower half areas,the antenna combination based on partition was realized,and the search space was also reduced.Simulation results show that the proposed method can achieve a good trade-off between performance and complexity.
摘要:The unmanned aerial vehicle (UAV) relay system has become a hot topic as an effective method for the remote transmission in wireless communications.By taking path loss into account,a relay cooperative transmission system model based on multiple UAVs was established firstly,and the maximum output signal-to-noise ratio (SNR) of the system with threshold-based decode-and-forward (DF) protocol was obtained.Then,by assuming that both the uplink and downlink experience Rician distribution,the closed-form expression for outage probability (OP) of the considered system with multiple UAVs was derived.Furthermore,the asymptotic OP formula at high SNR was also derived to show the diversity order and array gain of the considered system,which were convenient to reveal the effects of system parameters on the outage performance.Finally,the computer simulations verify the correctness of the theoretical analysis,and reveal the effect of the relay number,antenna number and the threshold on the system outage performance,thus the proposed scheme can provide guidance for the system design and application.
摘要:In view of the lack of effective technical means for the identification of empty-nesters by the government and the society,an empty-nesters prow user identification method based on weighted random forest algorithm was proposed.Firstly,some accurate labels of empty-nest users were obtained through questionnaires,and electricity characteristic library was drawn from three aspects:electricity consumption level,electricity consumption fluctuation and electricity consumption trend.Due to the data imbalance between empty-nest and non-empty-nest users,the weighted random forest algorithm was used to improve the data sensitivity phenomenon of machine learning.Finally,the algorithm model was put online in the power company’s acquisition system.The 2 000 unknown users of various types were identified,among which the identification accuracy of empty-nest users was 74.2%.The results show that the identification of empty-nesters from the perspective of electricity consumption can help power grid companies to understand the personalized and differentiated needs of empty-nesters,so as to provide users with more sophisticated services,and also assist the government and society to carry out assistance work.
关键词:empty-nest user identification;weighted random forest algorithm;user electricity characteristic library;data imbalance
摘要:Focused on the issue in which the problem of low precision of channel estimation and high implementation complexity in wideband millimeter-wave(mmWave) MIMO with lens antenna array system,a successive support detection(GS-SSD) algorithm based on Gauss-Seidel method was proposed in the traditional support detection scheme.In this algorithm,the assumption of common support was not used,and inspired by the successive interference cancellation.This algorithm decomposed the total channel estimation problem into several channel component.In the meanwhile,the Gauss-Seidel method was used to approximate the matrix inversion with high complexity.Simulations were provided to show that the proposed GS-SSD algorithm could significantly reduce the complex multiplication and achieved high performance compared with successive support detection algorithm.
摘要:Gait recognition is an advanced technology in the field of biometric identification.In view of the advantages of long-distance identification,uncontrolled identification and difficult camouflage,it has great potential to promote the development of pattern recognition,image processing,treatment and recovery.Firstly,the key technologies,research status and the common databases of gait recognition were introduced.Then,its application prospect was analyzed.Finally,the development trend of gait recognition was judged.
摘要:Telecom operators innovate continually in data management modes and combine data marketing with social red envelope activities,consequently launching data red envelope activities,which stimulates customers’ interest of data using.Faced with the research pain points of customer characteristics and propagation modes of socialized traffic red envelopes and the current status of the single community modeling algorithm,the detailed research and comparison of the application effects of the six community modeling algorithms were conducted to select the optimal traffic envelope algorithm,and the characteristics of the core value customer groups were located and analyzed.Results show that Multi-Level algorithm performs better in data red-envelope scenario.Based on this algorithm,four characteristic customer groups were mined,namely seed customer,high-value customer,low-value customer and silent customer.The social network clustering conclusion provided effective guidance for operators’ precise marketing,precise push and other marketing activities,as well as other customer operation management such as silent customer activation,lost customer recovery and so on.
关键词:social network analysis;data red envelope;customer group division
摘要:High-speed railway has become a part of daily life.It is very important to provide high-quality mobile communication network for high-speed railway users in 5G era.The technical challenges faced by high-speed railway construction after entering the 5G era were analyzed,and on this basis,the key technologies of 5G high-speed railway network,equipment selection,transmission resource demand analysis were analyzed and solutions were put forward.Based on the above technical analysis,combined with the actual network construction demand,construction scenarios,current network conditions and investment,5G high-speed railway wireless network construction scheme could be formulated accurately and efficiently according to local conditions.
摘要:The large-scale deployment of 5G brings bandwidth and lower delay requirements to transport network.As a 5G oriented multi-service transport platform,SPN will transport wireless service,home broadband service,enterprise service and private line service.SPN distribution layer and core layer network will need huge bandwidth and support long range transport.The SPN optical layer key technology and network scheme were studied,also implemented to verify the function and performance of SPN optical layer.
摘要:With the development of intelligent manufacturing and IoT,UAV has been widely utilized by power grid enterprise in patrolling transmission lines.At the same time,massive patrol image data need to be analyzed urgently.A U2U image analysis framework was designed from user data collection,automatic annotation and to user feedback.Two deep learning methods,which were faster R-CNN and SSD,were explored and applied in U2U to detect five types of power components,including insulators,dampers,grading rings and shielding rings.A refining method based on K-means++ was proposed for the parameters of anchor box.Experimental results demonstrate that the proposed methods can effectively improve the adaptability and detection accuracy of deep learning method for multiple-scale power components and provide a useful reference for subsequent defect detection and deep application of UAV patrolling.
关键词:intelligent power system;deep learning;multiple-component detection;UAV
摘要:Efficient and reliable network traffic prediction is the basis of network planning and capacity expansion construction.Currently,there is no integral theoretical model to describe internet traffic.Most of the industry designs simplified and operable prediction models.Firstly,according to the characteristics of China Telecom’s IP backbone network traffic and its planning requirements,the IP backbone network traffic was analyzed and forecasted by using the multi-factor regression model and the function adaptive mode of time series.The characteristics,advantages,disadvantages and applicable scenarios of these two models were compared based on simulation of a large number of actual network data.A set of principles and methods for selecting prediction model and optimizing parameters were proposed.Then,an automatic forecasting system with the high performance of dealing with hundreds of time series was built to greatly simplify and improve the traffic prediction efficiency.Finally,the development orientation of network capacity extension and key points of future IP traffic prediction were prospected.
摘要:Firstly,the current status of electrical topology discovery in low voltage distribution network was introduced,and then the high frequency synchronous acquisition and edge computing based electrical topology discovery in low voltage distribution network was proposed,including high-frequency synchronous data acquisition,Pearson correlation coefficient method for station area identification,analysis of mutual information between electric meters,generation of physical topology through spanning tree algorithm,and so on.Compared with other methods using pure software algorithm to realize topology discovery,the proposed method can not only ensure the simultaneity of data,but also reflect the changes of topology in time,which makes the judgment of electrical topology of low-voltage stations more accurate.
关键词:HPLC;data simultaneity;high frequency acquisition;relevance;electrical topology