Huawei Technologies Co., Limited

Honeywell International Inc.

Chinese Academy of Sciences

Nio Technology (anhui) Co., Ltd.

Telefonaktiebolaget Lm Ericsson (publ)

Huawei Device Co., Ltd.

Spreadtrum Communications (shanghai) Co., Ltd.

Yangtze River Pharmaceutical Group Co., Ltd.

Shanghai Haiyan Pharmaceutical Technology Co., Ltd.

King Abdulaziz University

Wangsu Science & Technology Co., Ltd.

Shanghai Micro Electronics Equipment (group) Co., Ltd.

Shanghai Icekredit, Inc.

Bordrin Motor Corporation, Inc.

Shanghai East Hospital

Kai Zhang

Ruiyue Xu

Lan Zou

Yan Li

Xiaoqian Jia

Ling Shen

Ya Qun Liu

Liqiang Zhang

Dong Bo Zhao

Huifeng Duan

Haigang Kang

Shiting Wang

Yong Yang

Huayu Zhou

Xiaoli Shi

Jun Yang

Cheng Wang

Jiong Lan

Meng Zhang

Yang Liu

Zhengang Pan

Jing Xie

Haijun Wu

Li Ji

Jinyin Zhu

Xingya Shen

Xiang Chen

Yingjiao He

Fusheng Zhou

Dong Huang

Shuhua Chen

Bo Wu

Shuchun Guo

Jinzhu Zhao

Wan He

Changjiang Qiao

Yin Yang

Jun Wang

Fan Wang

Fei Li

Liang Chen

Jiaxin Li

Zhiwei Zhang

Yang Zhang

Kangmin Huang

Yusuf Abdulaziz Al-Turki

Xin Zhang

Mengchu Zhou

Ping Song

Shanfu Li

Ning Deng

Wei Jun Wang

Lingyun Gu

Dawei Huo

Abdullah Abusorrah

Heng Zhang

Hailiang Lu

Siya Yao

Yuegang Zhang

Xuesi Chen

Minqi Xie

Qi Kang

Wan Duan

Yizeng Huang

Lingling Liu

Weiming Fan

Yijun Xu

Xiaoyi Xu

Xinchao Bian

Youzhu Li

Daoyuan Chen

Shian Wang

Fuli Li

Huimin Meng

Junyi Dai

Chengzuo Qi

Xuejie Lv

Quansheng Duan

Limei Cui

Yaqin Mao

Daiqi Zhou

Hai Hu

Xinbao Yu

Yiquan Zhu

Yuanhua Luan

Xueyi Zhou

Hongtao Cao

Xiabin Jing

Tongjun Liu

Shaohui Liu

This application provides a network model management method applied to a first device. The method includes obtaining first information of a network model, determining second information based on the first information, and sending the first and second information to a second device. The first information describes the network model. The second information indicates a network analysis function, and the network analysis function is allowed to use the network model. The foregoing method is used, so that the second device can establish an association relationship between the network model and the network analysis function, to implement real-time management for the network model.

Network model management method and apparatus

Embodiments of the present disclosure provide methods and apparatus for user plane path failure and recovery handling. A method comprises detecting that a user plane path is failed; and monitoring the user plane path within a configurable period to determine whether the user plane path is recovered or not.

Method and apparatus for user plane path failure and recovery handling

An optical amplifier includes at least two stages of optical amplifier systems, an optical switch, a dynamic gain equalizer (DGE), and a control circuit. An input end of the optical switch is separately coupled to an output end of a first-stage optical amplifier system and an output end of a second-stage optical amplifier system, and an output end of the optical switch is separately coupled to an input end of the second-stage optical amplifier system and an input end of the DGE. The optical switch is configured to set at least two gain modes of the optical amplifier. The control circuit is configured to adjust an attenuation spectrum of the DGE based on the at least two gain modes set by the optical switch. The DGE is configured to perform, based on an adjusted attenuation spectrum, power attenuation processing on signals of different wavelengths in a received optical signal.

Optical amplifier, optical signal processing method, and storage medium

Embodiments of this application disclose network slice deployment methods, and relate to the field of communications technologies. In an example method, the first network manager obtains node instance information, wherein the node instance information comprises identifier information of the node instance or a network address of the node instance. The first network manager determines transport requirement information corresponding to the node instance information, wherein the transport requirement information comprises one or more of a transport deployment specification, a latency, bandwidth, location constraint information, affinity and anti-affinity rules, bearer information, a network type, a reliability requirement, a mobility requirement, or isolation requirement information. The first network manager sends a transport request message to a transport network manager, wherein the transport request message carries the transport requirement information and the node instance information.

Network slice deployment method and apparatus

The invention relates to a vehicle positioning method and system for a fixed parking scenario. The method includes: a map obtaining step of obtaining, by a vehicle, a parking scenario map from a cloud according to a preset trigger condition; a first positioning step of obtaining first geographical position information of the vehicle based on a first marker in a fixed parking scenario, and matching the first geographic position information with the parking scenario map, so as to obtain a first vehicle pose of the vehicle in the parking scenario map; and a second positioning step of obtaining second geographical position information of the vehicle based on a second marker in the fixed parking scenario, and matching the second geographical position information with the parking scenario map, so as to obtain a second vehicle pose of the vehicle in the parking scenario map. According to the invention, planar and spatial positioning of the vehicle can be implemented, and accurate positioning and accurate navigation in a fixed parking scenario can be implemented.

Vehicle positioning method and system for fixed parking scenario

A method includes receiving, by a first management device, a first message from a second management device, and determining a predicted traffic volume corresponding to a traffic type for a predicted object based on a prediction requirement information. The first message is useable to request the first management device to perform traffic volume prediction. The first message includes the predicted object, the traffic type, and the prediction requirement information. The prediction requirement information includes a prediction granularity or a prediction period. The prediction granularity includes at least one of a prediction area, a prediction service type, a prediction slice, a prediction cell, a prediction public land mobile communications network or a prediction tenant.

Traffic volume prediction method and apparatus

The disclosure relates to a vehicle positioning method and system for a fixed parking scenario. The method includes: a marker detection step of detecting markers and identifying a pair of markers; a pose matching step of performing pose matching based on vehicle position information and the pair of markers; a non-pose matching step of performing non-pose matching based on the pair of markers, to obtain latest vehicle position information; and a position update step of updating current vehicle position information based on the latest vehicle position information obtained in the pose matching step or the non-pose matching step.

This application provides an energy saving management method and apparatus. The method includes: obtaining information about reference cells of a first cell, where the reference cells include reference cells of at least two levels, a coverage area of a first-level reference cell overlaps a coverage area of the first cell, a coverage area of a second-level reference cell overlaps the coverage area of the first-level reference cell, and the coverage area of the second-level reference cell does not overlap the coverage area of the first cell; and determining, based on the information about the reference cells, whether energy saving processing needs to be performed on the first cell.

Energy saving management method and apparatus

A method includes: receiving, by an intent management device, a service intent from a requirement device, where the service intent is used to indicate service requirement information, and the service requirement information includes service access time information of at least one terminal device and service access location information of the at least one terminal device; and determining network configuration information based on the service intent, and configuring a network based on the network configuration information; or determining first information based on the service intent, and sending the first information to a network management device, where the first information includes network configuration information or network intent information, the network configuration information is used to indicate a radio resource configuration, and the network intent information is used to describe an effect of a network configuration.

Intent-based network configuration method, apparatus, and system

A network service management method in which a network management unit obtains information about a target network service, where the information about the target network service includes an identifier of the target network service and requirement information of the target network service. The network management unit obtains an identifier of a network based on the requirement information of the target network service, where the network meets the requirement information of the target network service. The network management unit configures an association relationship between the identifier of the target network service and the identifier of the network, or the network management unit configures the identifier of the target network service in management information of the network, or the network management unit configures the identifier of the network in management information of the network service.

Network service management method, device, and system

A method includes: A first management apparatus determines configuration information of a data analysis apparatus, where the configuration information is used to configure a data analysis function of the data analysis apparatus, and the configuration information includes at least one of the following: state information, used to activate or de-activate the data analysis function of the data analysis apparatus; and prediction capability information, used to configure a data prediction and analysis capability of the data analysis apparatus. The first management apparatus sends the configuration information.

Data analysis apparatus management and control method and communication apparatus

A fiber applied to an optical amplifier, where the fiber includes a rare earth-doped core and a cladding. The core includes a gain equalization unit. The core is configured to separately amplify optical signals of all wavelengths in a received multiplexing wave. The gain equalization unit is configured to equalize gains of the optical signals of all the wavelengths, such that gains of optical signals that are of all the wavelengths and that are transmitted from an egress port of the fiber all fall within a preset range. The gain of the optical signal of each wavelength in the optical signals of all the wavelengths is determined based on a ratio of power of an amplified optical signal to power of the unamplified optical signal.

Fiber, optical amplifier, and optical communications system

The disclosure provides radio resource allocation policy configuration methods. One example method includes that a first network management unit obtains a first radio resource allocation policy which is used to describe a first proportion of a radio resource, available to each of one or more objects in a first subnetwork, to a first radio resource of the first subnetwork. The first network management unit determines a second radio resource allocation policy based on the first radio resource allocation policy, where the second radio resource allocation policy is used to describe a second proportion of a radio resource, available to each of one or more objects in a first cell, to a second radio resource of the first cell, the objects in the first cell include at least one object of the one or more objects, and the first cell is a cell of the first subnetwork.

Radio resource allocation policy configuration method, apparatus, and system

The invention relates to a parking spot detection method and system. The method includes: acquiring a parking lot image including one or more idle and occupied parking spots around a vehicle; inputting the parking lot image to a neural network model for image processing, to obtain center point coordinates and a center point probability of the parking spot, first coordinates and first corner point probabilities of four corner points, and offsets of the four corner points relative to the center point coordinates; calculating second coordinates of the four corner points based on the center point coordinates and the offsets of the four corner points relative to the center point coordinates; correcting the second coordinates of the four corner points by using the first coordinates of the four corner points, to obtain actual coordinates and actual corner point probabilities of the four corner points; and performing parking spot detection based on the center point coordinates and the center point probability, and the actual coordinates and actual corner point probabilities of the four corner points. According to the invention, the parking spot can be accurately detected.

Parking spot detection method and parking spot detection system

A wake-up method and apparatus, a storage medium and a terminal are provided. The method includes: monitoring a wake-up Physical Downlink Control Channel (PDCCH); if detecting the wake-up PDCCH, determining to enter a wake-up mode; or if detecting the wake-up PDCCH, and wake-up indication information in Downlink Control Information (DCI) transmitted by the wake-up PDCCH indicates to enter the wake-up mode, determining to enter the wake-up mode, wherein entering the wake-up mode comprises starting an onDurationTimer and/or starting a drx-InactivityTimer.

Wake-up method and apparatus, storage medium and terminal

Growing community of inventors

Shanghai, China

Kai Zhang