Zte Corporation

Xi'an Zhongxing New Software Co., Ltd.

Dapeng Li

Yin Gao

Zhuang Liu

Lin Chen

He Huang

Ying Huang

Zijiang Ma

Yada Huang

Lifeng Han

Peng Hao

Yuqin Chen

Xing Liu

Feng Bi

Jinguo Zhu

Shuang Liang

Yuan Gao

Jianmin Fang

Bo Dai

Ting Lu

Yang Liu

Jiren Han

Wenting Li

Jiajun Chen

Jing Liu

Qian Dai

Jianxun Ai

Dong Zhou

Feng Xie

Hui Xu

Feng He

Xiubin Sha

Li Ping Yang

Xiaojuan Shi

Jing Jing Liu

Zhongda Du

Shijun Chen

Li Niu

Zhifeng Ma

Yincheng Zhang

Fang Xie

Zhongming Chen

Jie Tan

Jianquan Song

Yumin Luo

Shuyu Ma

Parolari Sergio

Man Zhang

Yingjun Zhou

Shuanshuan Wu

Wu Shen

Zhenping Hu

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

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

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

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

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

Methods, systems, and devices for quality-of-service (QoS) and quality-of-experience (QoE) monitoring in mobile communication technology are described. An example method of wireless communication includes receiving, by a second network element from a first network element, a measurement request message, performing, based on the measurement request message, one or more measurements to generate a measurement report message, and transmitting, to the first network element, the measurement report message.

Quality-of-service and quality-of-experience monitoring

Disclosed are a network optimization method and apparatus, an electronic device, and a storage medium. The network optimization method may include: sending data analytics request information to a core network; receiving data analytics response information fed back by the core network and determining a model processing result according to an artificial intelligence learning model; and performing a network optimization operation according to the model processing result.

Network optimization methods and apparatus, electronic device and storage medium

Methods, apparatus, and systems for providing effective slice-level load metrics reporting and load balancing are disclosed. In one example aspect, a wireless communication method includes transmitting, by a first network element, a request to a second network element requesting resource status at a slice level of a slice. The slice represents a logical network of a physical network infrastructure. The method also includes receiving, by the first network element, load information at the slice level from the second network element in response to the request.

Slice level load reporting and balancing in wireless communications

Methods, systems, and devices related to related to digital wireless communication, and more specifically, to techniques related to reporting performance information. In one exemplary aspect, a method for wireless communication includes receiving a performance information report from a terminal, wherein the performance information report includes information relating to performance of the network node. The method also includes initiating a performance task based on receiving the performance information report. In another exemplary aspect, a method for wireless communication includes generating a performance information report that includes information relating to performance of a network node. The method also includes transmitting the performance information report to the network node.

Method of performance information reporting

Methods, systems, and devices related to digital wireless communication, and more specifically, to techniques related to receiving, at a network node serving a wireless device via a communication network, a first list comprising device configuration parameters and a second list comprising base station configuration parameters, wherein at least one ID configuration parameter is included in both the first list and the second list; generating, by the network node, network-side usage measurement data based on testing the network node in accordance with the second list; receiving, from the wireless device, the device performance data of the wireless device based on local measurements at the wireless device in accordance with the first list; and receiving, at the network node, optimized settings from a remote server, wherein the optimized settings are based on the network-side usage measurement data collected from the network node and the device performance data collected from the wireless device.

Systems and methods for adaptive collection of quality of experience (QoE) measurements

Disclosed are a location prediction method and apparatus, a network element, a base station and a non-transitory computer-readable storage medium. The position prediction method may include: receiving, by a location service network element, a Minimization of Drive Tests (MIDT) measurement information message sent by a base station, wherein the location service network element is a separate network element or a network element inside the base station, and the MDT measurement information message carries history location measurement information of at least one user equipment (UE); determining, by the location service network element, predicted location information of the at least one UE for a first time point or a first time period according to the history location measurement information of the at least one UE; and sending, by the location service network element, the predicted location information to the base station.

Position prediction method and apparatus, network element, base station, and storage medium

Techniques are described to improve minimization of drive test (MDT) related measurements. For example, a wireless communication method is described for receiving, by a first device, a measurement configuration for minimization of drive test (MDT) related measurement, sending, by the first device to a third device, a measurement result based on a first measurement configuration, where the measurement result includes a time stamp and a type of measurement result. The wireless communication method also includes sending, by the first device to a second device, a second measurement configuration and the type of measurement result. The first measurement configuration, second measurement configuration, and the type of measurement result are based on the measurement configuration for MDT.

Configuration for minimization of drive test in wireless communications

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Shenzhen, China

Dapeng Li