Zte Corporation

Xi'an Zhongxing New Software Co., Ltd.

Xi'an Zte New Software Company Limited

Yin Gao

He Huang

Zhuang Liu

Dapeng Li

Feng Xie

Ying Huang

Shuang Liang

Ting Lu

Lifeng Han

Lin Chen

Yang Liu

Feng He

Yuanfang Yu

Zijiang Ma

Xiubin Sha

Bo Dai

Jing Liu

Jianxun Ai

Bo Sun

Feng Li

Jinguo Zhu

Lin Liu

Qian Dai

Yuan Gao

Xiaojuan Shi

Jing Jing Liu

Shuanshuan Wu

Peng Hao

Yuqin Chen

Hao Wu

Xing Liu

Jian Zhang

Feng Bi

Bin Yu

Jun Liu

Yada Huang

Xu Liu

Li Ping Yang

Wei Luo

Jiren Han

Jianmin Fang

Jiajun Chen

Qingchun He

Yunlu Wu

Li Chu

Longtao Ren

Fei Lu

Meifang He

Zhongming Chen

Sergio Parolari

Shaohua Wu

Fengguo Ma

Chenyun Zhou

Peng Fei Zhu

Xiang Cheng

Ting Miao

Shijun Chen

Wenting Li

Tao Qi

Jie Tan

Lirong Shi

Jin Xi

Bo Huang

Jianquan Song

Shuyu Ma

Yumin Luo

Yulan Liu

Meiqing Huang

Parolari Sergio

Shengyao Jin

Man Zhang

Yingjun Zhou

Teng Fei

Jie Zhao

Methods, systems, and devices related to digital wireless communication, and more specifically, to techniques related to sending, by a first network node to a second network node, a first message including information for handling access and mobility management tasks associated with a mobile device, wherein the first network node is serving a mobile device in a coverage area of the first network node; and determining, at the first network node, based on a response message from a second network node, information of one or more resources available to the mobile device from the second network node in a case that the one or more resources are re-mappable from the first network node.

Re-mapping network slices for supporting service continuity

The present application provides a network optimization method, including: sending a session setup request message to a client device to request the client device to perform measurement configuration on a designated network side device and perform measurement configuration on a terminal device connected to the designated network side device; receiving a measurement report message of the designated network side device and a measurement report message of the terminal device; determining, according to pre-acquired machine learning description information, whether to perform collaborative training with the client device; and performing designated model training processing for network optimization based on whether to perform collaborative training with the client device and measurement data in the received measurement report messages, and sending a model training processing result to the client device to instruct the client device to obtain a network optimization action according to the model training processing result.

Network optimization method, server, client device, network side device, network device, system and medium

Provided are a method and apparatus for reporting user plane function (UPF) information, a storage medium, and an electronic apparatus. The method includes: in a case where a UPF is deployed on a base station side, receiving, by a core network device, a first message sent by a radio access network (RAN) device, wherein the first message carries UPF information.

Method and apparatus for reporting user plane function information, storage medium, and electronic apparatus

Provided are a location prediction method and apparatus, a node and a storage medium. The method includes: a server obtaining a measurement report message sent by a base station, where the measurement report message includes historical location measurement information reported by at least one UE and/or historical location measurement information of the at least one UE measured by the base station; and the server determining prediction location information of the at least one UE at a first time point or in a first time period according to the measurement report message, and sending notification information to the base station according to the prediction location information. By introducing measurement information in multiple dimensions, the accuracy of predicting the location of UE can be effectively improved.

Location prediction method and apparatus, node and storage medium

The present disclosure describes methods, system, and devices for switching a quality of service (QoS) flow from a source network node to a target network node. The method includes sending, by a first network node, a first request to the target network node; receiving, by the first network node, a first response to the first request from the target network node; and sending, by the first network node, a second request to the source network node. The method may also include receiving, by the first network node, a second response to the second request from the source network node; and sending, by the first network node, a radio resource control (RRC) reconfiguration complete indication to the source network node.

Methods and devices for data transmission based on switching quality of service flow

This disclosure describes methods and systems for exchanging AI computing information for load prediction model between network elements of a wireless communication network. The methods include: sending, by a first network element of a wireless communication network, a first message for load prediction to a second network element of the wireless communication network, wherein the first message comprises at least one of an input to a machine learning model for load prediction of the first network element or model configuration information of the machine learning model.

Method for AI based load prediction

Described are techniques for providing, a quality of service (QoS) update from a control plane of a base station to a user plane of the base station based on a QoS event, wherein the QoS update includes information indicative of a mapping between a QoS flow and corresponding radio resources for user data transmission, storing, at the user plane, the mapping between the QoS flow and the radio resources, receiving, at the user plane, a downstream data packet of the QoS flow from a core network, and transmitting the downstream data packet in a downlink direction using the corresponding radio resources.

Quality of service implementations for separating user plane

Methods and systems for securely sending user plane data from a base station to an Artificial Intelligence (AI) server via a mobile telecommunication network are disclosed herein. In one embodiment, a method performed by the base station located in a Radio Access Network (RAN) includes: sending an interface setup request to the (AI) server, receiving an interface setup response from the AI server, establishing, by exchanging cryptographic keys using an Internet Key Exchange (IKE) protocol, a data transport tunnel between the base station and the AI server based on an Internet Protocol Security (IPSec) network protocol, and sending the user plane data from the base station to the AI server for training artificial intelligence based models.

Method and apparatus for a secure connection between an artificial intelligence server and a base station node

Presented are systems, methods, apparatuses, or computer-readable media for controlling uplink (UL) duplication. An assisting radio access network (RAN) node may receive, from a host RAN node hosting a packet data convergence protocol (PDCP) entity, radio link control (RLC) activation information associated with a dedicated radio bearer (DRB) for uplink duplication. The assisting RAN node may establish a medium control element (MAC) control element (CE) frame, according to the RLC activation information.

Controlling uplink duplication in packet data convergence protocol layer

The end-to-end experience of a wireless customer depends on at least data throughput, data loss, and latency, as well as other characteristics. The user's quality of experience (QoE) can be determined based on applications and measurements taken at the application layer of the user's user equipment (UE) and information at the session level at the UE initiated and configured by an operator at the start of the session. The QoE is an application layer measurement configured by the operator and reported inside the application layer. When a UE is performing an inter-system handover, the QoE measurement configuration of the current session cannot be transferred from the source network to the target network.

Method for measuring wireless quality of experience

Presented are a systems, methods, apparatuses, or a computer-readable media for uplink packet duplication transmission. A host radio access network (RAN) node hosting a packet data convergence protocol (PDCP) entity may determine a location of a primary radio link control (RLC) entity. The host RAN node may transmit, to an assisting RAN node, the location of the primary RLC entity.

Uplink packet duplication transmissions

Provided are a cell switching method and apparatus, a device, and a storage medium. The method includes the following. A first interface message is sent to a second network element, where the first interface message carries UE related information; a user context modification instruction triggered by the second network element is received, where the user context modification instruction is determined and triggered according to the first interface message, and the user context modification instruction is configured for triggering the handover of a target UE from a source cell to a target cell.

Cell handover method, apparatus and device, and storage medium

Techniques are described to indicate traffic awareness information by a network device. An example wireless communication method includes communicating, by a first network function of a network node, traffic awareness information to a second network function of the network node, wherein the traffic awareness information includes traffic characteristics of one or more quality of service (QoS) flows between the network node and a communication node.

Radio access network traffic awareness transmission techniques

Techniques are described to trigger, by a first entity, a process by which one or more interfaces are established over a user plane or a control plane between the first entity and a second entity, where the triggering is based on a first communication of a first message between the first entity and the second entity, and where the one or more interfaces are used for data communication between the first entity and the second entity; and establish, by the first entity, the one or more interfaces by performing a second communication of a second message between the first entity and the second entity in response to the first communication.

Data transmission for artificial intelligence (AI) technologies

Provided are a data processing method and device, and a storage medium. The method includes: receiving configuration information of a blockchain from a second network element, where the configuration information includes: application layer blockchain on-chaining auxiliary information, or application layer blockchain uplink auxiliary information and application layer blockchain configuration information; and putting terminal application layer information on the blockchain according to the application layer blockchain on-chaining auxiliary information.

Data processing method, device, and storage medium

Growing community of inventors

Shenzhen, China

Yin Gao