Huawei Technologies Co., Limited

Xin Xiao

Qiuyou Wu

Wei Su

Maarten Vissers

Jian Tong Li

Zhiyong Huang

Jun Ming Yan

Wei Du

Yuming Xie

Binghua Zhang

Li Xue

Liang Zhang

Qiang Wang

Zhao Zhang

Gang Zheng

Ping Huang

Ming Yang

Kun Li

Hua Li

Wei Tan

Min Chen

Limin Dong

Kai Ma

Chao Liu

Zhenwei Zhang

Shimin Zou

Jian Li

Chiwu Ding

Maarten Petrus Joseph Vissers

Haonan Ye

Rui Lyu

Yunpeng Gao

Jingxin Tan

Hanguo Li

Chaoyang Li

Ruihong Wang

Yu Zeng

Buyun Wang

Zhongyu Wang

Da He

Kang Cheng

Luqi Zhang

Xiaojun Shen

Jiyu Pan

Gen Chen

Bo Yin

Hongjun Gao

Jian Yin

Zufa Yang

Ling Pei

Zhiqing Yu

Xiao Wei

Jinqiu Liao

Vissers Maarten

Jun Yan

The present disclosure describes a terahertz carrier sending apparatus and a terahertz carrier receiving apparatus. The sending apparatus includes a radio frequency sending chip, a mode conversion structure, a terahertz transmission line, and a circuit board. The radio frequency sending chip is packaged on the circuit board, and includes a radio frequency sending circuit, a feed transmission line, and a mode excitation structure. The mode conversion structure includes a metal inner wall, configured to couple a terahertz signal excited by the mode excitation structure into the terahertz transmission line. The terahertz transmission line is configured to transmit the terahertz signal. The receiving apparatus includes a similar part in a receiving direction. The subject matter herein implements efficient electromagnetic coupling and improves data transmission bandwidth.

Terahertz carrier sending apparatus and terahertz carrier receiving apparatus

This application provides an optical link fault identification method, and relate to the field of communications technologies. The method includes: obtaining performance data of a network device, extracting a feature parameter of the performance data, and identifying a fault mode on an optical link based on the feature parameter. The method resolves problems of a difficulty in fault identification and slow troubleshooting that are caused by a large quantity of devices, many line faults, and a difficulty in obtaining manual troubleshooting cases. In addition, a fault can be quickly identified when the fault occurs, improving troubleshooting efficiency. When an optical link risk does not cause a fault, deterioration of the performance data can be found in advance based on a feature, to perform identification and warning.

Optical link fault identification method, apparatus and system

Methods and apparatuses for mapping processing and de-mapping processing in an optical transport network are provided. A Low Order Optical Channel Data Unit (LO ODU) signal is mapped into a payload area of an Optical Channel Data Tributary (ODTU) signal in units of M bytes. M is equal to the number of time slots of a High Order Optical Channel Payload Unit (HO OPU) that are to be occupied by the ODTU signal, and M is an integer larger than 1. Overhead information is encapsulated to an overhead area of the ODTU signal. Thereafter, the ODTU signal is multiplexed into the HO OPU. According to the application, an efficient and universal mode for mapping the LO ODU to the HO OPU is provided.

Method and apparatus for mapping and de-mapping in an optical transport network

Embodiments of this application provide a method and an apparatus for obtaining optical distribution network (ODN) logical topology information, a device, and a storage medium. The method includes: obtaining identification information of each first ONU that is connected to a first passive optical network (PON) port and whose optical path changes and feature data of the first ONU in a first time window, where the feature data includes receive optical power and/or an alarm event; obtaining, based on the feature data of each first ONU, a feature vector corresponding to each first ONU; and performing cluster analysis on the feature vector corresponding to each first ONU, to obtain topology information corresponding to the first PON port. ONU topology information is obtained by analyzing an ONU feature.

Method and apparatus for obtaining ODN logical topology information, device, and storage medium

A network quality determining method includes, when experience quality represented by a customer experience index of a target user within a first time period is lower than experience quality represented by a customer experience index threshold, determining, using a first parameter value that is of a network key performance indicator (KPI) parameter of the target user within a second time period and that is collected by a collection device in a carrier network, a second parameter value of the network KPI parameter of the target user within the second time period in a home network, and when network quality represented by the second parameter value of the network KPI parameter is lower than network quality represented by a first threshold corresponding to the network KPI parameter in the home network, determining that quality of the home network is poor.

Network quality determining method and apparatus and storage medium

A method includes obtaining a first memory log, where the first memory log includes log information of a plurality of garbage collections, and log information of each garbage collection includes a garbage collection time, and includes at least one of a downtime, memory usage after garbage collection, and memory usage before garbage collection, obtaining, based on log information in a first detection time window, first statistical information corresponding to the first detection time window, and determining, based on the first statistical information corresponding to the first detection time window, an anomaly degree corresponding to the log information in the first detection time window.

Memory anomaly detection method and device

A fault localization method includes: obtaining user experience data, network topology data, and resource management data that are of a video service; where the network topology data is used to represent a connection relationship between network devices, and the resource management data is used to represent a connection relationship between user equipment and the network devices; determining a QoE experience indicator of a network device based on the user experience data, the network topology data, and the resource management data; and when QoE represented by the QoE experience indicator of the network device is lower than QoE represented by a device screening threshold, determining the network device as a possible questionable device.

Fault localization method and device

A method and an apparatus for determining a status of a network device are provided. A warning analysis device obtains a plurality of pieces of target key performance indicator KPI data of the network device within preset duration, processes the plurality of pieces of target KPI data to generate an element, forms the feature vector by using generated elements corresponding to the plurality of pieces of feature information, and analyzes the feature vector based on a preset warning analysis model, to determine the status of the network device. In this way, the status of the network device is determined by analyzing a plurality of pieces of target KPI data within a period of time, instead of by using only data at a moment. This improves the accuracy of determining the network device, so as to reduce an omission of a warning.

Method and apparatus for determining status of network device

In a fault root cause determining method, a management device obtains a fault feature of a target network in which a fault occurs. The fault feature is determined based on a knowledge graph of the target network in which the fault occurs. The knowledge graph includes a network entity and an abnormal event entity. The abnormal event entity is connected to an abnormal network entity. The abnormal network entity is a network entity that generates an abnormal event in the target network. The abnormal event entity is configured to indicate the abnormal event generated by the abnormal network entity. A type of the network entity is a network device, an interface, a protocol, or a service. The management device determines a fault root cause of the target network based on the fault feature.

Fault root cause determining method and apparatus, and computer storage medium

Embodiments of the present disclosure provide a data transmission method and a device, and the method includes: determining synchronization header indication information indicating a frame header location of a first code stream, where the first code stream is obtained by encoding CPRI service data; decoding the first code stream to obtain a second code stream, where the first code stream is a 10B code stream, and the second code stream is an 8B code stream, or the first code stream is a 66B code stream, and the second code stream is a 64B code stream; inserting frame header indication information indicating a frame header location of the second code stream into the second code stream according to the synchronization header indication information; and mapping the second code stream and the frame header indication information into an OPU in an ODU frame.

Data transmission method and device

Methods and apparatuses for mapping processing and de-mapping processing in an optical transport network are provided. a Low Order Optical Channel Data Unit (LO ODU) signal is mapped into a payload area of an Optical Channel Data Tributary (ODTU) signal in units of M bytes. M is equal to the number of time slots of a High Order Optical Channel Payload Unit (HO OPU) that are to be occupied by the ODTU signal, and M is an integer larger than 1. Overhead information is encapsulated to an overhead area of the ODTU signal. Thereafter, the ODTU signal is multiplexed into the HO OPU. In this way, an efficient and universal mode for mapping the LO ODU to the HO OPU is provided.

Growing community of inventors

Shenzhen, China

Xin Xiao