Zte Corporation

Xi'an Zhongxing New Software Co., Ltd.

Xi'an Zte New Software Company Limited

Yin Gao

He Huang

Zhuang Liu

Dapeng Li

Jiren Han

Feng Xie

Ying Huang

Shuang Liang

Ting Lu

Lifeng Han

Lin Chen

Zijiang Ma

Yang Liu

Feng He

Yuanfang Yu

Jianmin Fang

Jiajun Chen

Xiubin Sha

Qingchun He

Bo Dai

Yunlu Wu

Jing Liu

Jianxun Ai

Li Chu

Longtao Ren

Bo Sun

Feng Li

Jinguo Zhu

Lin Liu

Yuan Gao

Qian Dai

Xiaojuan Shi

Jing Jing Liu

Fei Lu

Meifang He

Zhongming Chen

Sergio Parolari

Shaohua Wu

Chenyun Zhou

Fengguo Ma

Shuanshuan Wu

Peng Hao

Yuqin Chen

Hao Wu

Xing Liu

Jian Zhang

Feng Bi

Bin Yu

Jun Liu

Xu Liu

Li Ping Yang

Peng Fei Zhu

Xiang Cheng

Ting Miao

Shijun Chen

Wenting Li

Jie Tan

Lirong Shi

Jin Xi

Jianquan Song

Yumin Luo

Shuyu Ma

Meiqing Huang

Yulan Liu

Parolari Sergio

Shengyao Jin

Teng Fei

Man Zhang

Yingjun Zhou

Methods, apparatus, and systems that establish Multicast and Broadcast Service sessions based on existing tunnels between the core network and radio access nodes are disclosed. In one example aspect, a wireless communication method includes receiving, by a first communication node, a request from a core network node to establish a session. The request comprises a list of tunnels established between the core network node and other communication nodes to provide multicast and broadcast service. The method includes selecting, by the first communication node, a channel from the list of tunnels included in the request to establish a multicast and broadcast session that corresponds to the session. The method also includes transmitting, by the first communication node to the core network node, a response indicating an establishment of the session. The response includes information associated with the selected channel between the second communication node and the core network node.

Multicast and broadcast service establishment

An information synchronization method applied to a secondary node is provided. The method includes: configuring first information, wherein the first information includes at least one of: whether a Signaling Radio Bearer (SRB) k corresponding to the secondary node has a capability of supporting fast recovery of a primary radio link failure; and whether the SRBk corresponding to the secondary node is in a state of supporting fast recovery of the primary radio link failure, wherein k is any integer greater than or equal to 3, and different secondary nodes corresponding to the same master node correspond to different values of k; and sending a first message to a first master node, wherein the first message carries the first information. An information synchronization apparatus, an electronic device, and a computer readable storage medium are also provided.

Information synchronization method and apparatus, electronic device, and computer readable storage medium

Methods, systems, and devices related to digital wireless communication, and more specifically, to techniques related to related to reselecting a network in a network sharing split architecture. In one exemplary aspect, a method for wireless communication includes a central node associated with a previous network receiving a rerouting message from a distributed node indicating that a network for the terminal is reselected from the previous network to a new network. The method also includes the central node associated with a previous network transmitting an allocation message to a central node associated with the new network.

Network reselection for a network sharing split architecture

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

Growing community of inventors

Shenzhen, China

Yin Gao