Zte Corporation

Xi'an Zhongxing New Software Co., Ltd.

Honor Device Co., Ltd.

Soochow University

Zhuang Liu

Yin Gao

He Huang

Dapeng Li

Jiren Han

Jiajun Chen

Yang Liu

Zijiang Ma

Feng Xie

Jing Liu

Xiaojuan Shi

Fei Dong

Wenting Li

Ji Ding

Mengjie Zhang

Jianxun Al

Xin Lv

Na Liu

Yuren Xiao

Man Zhang

Yingjun Zhou

Qian Chen

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 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

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

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

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

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

The present document describes methods, systems, and devices for configuring a measurement object in a wireless communication network. A plurality of candidate serving cell measurement object (MO) identifiers (IDs) are provided from a centralized unit (CU) to a distributed unit (DU). A a serving cell MO is selected by the DU from the plurality of candidate serving cell MO IDs to be used for a user equipment (UE). A per-bandwidth part (BWP) serving cell MO configuration is configured by the DU according to the serving cell MO.

Method of a serving cell measurement object configuration

A message receiving method and a message receiving apparatus, a message sending method and a message sending apparatus, a device and a storage medium are provided. The message receiving method includes: sending by the first network element a request message to a second network element, where the request message is used to indicate the second network element to send a request acknowledgement message; receiving the request acknowledgement message sent by the second network element, where the request acknowledgement message carries grid information of a target cell; and updating grid information of the first network element according to the grid information of the target cell carried in the request acknowledgement message.

Message sending method and apparatus, message receiving method and apparatus, and device and storage medium

Provided are a handover method, a handover device, and a network system. The handover method includes: receiving cell information of a second cell sent by a second network element, wherein the second cell is a cell managed by the second network element, and the cell information includes predicted cell load information of the second cell; and sending a handover instruction to a terminal in a case where the cell information satisfies a preset condition, wherein the handover instruction is used for instructing the terminal to perform handover to the second cell, and the case where the cell information satisfies the preset condition at least indicates that the predicted cell load information of the second cell is lower than a configured first threshold.

Handover method, handover device, and network system

Provided are a non-public network configuration method and apparatus, a centralized unit (CU), a distributed unit (DU), a base station, and a computer-readable storage medium. The method includes: a CU acquiring configuration information of closed access group (CAG) cells of at least one DU in a base station to which the CU belongs; and the CU determining information about an activated CAG cell according to the configuration information of the CAG cells, and notifying the at least one DU of the information about the activated CAG cell.

Non-public network configuration method and apparatus, CU, DU, base station, and computer-readable storage medium

This patent document describes, among other things, techniques, and apparatuses for providing artificial intelligence to improve wireless network efficiency and performance. In one aspect, a method of wireless communication is disclosed. The method includes transmitting, from a first network node to a second network node, a first network control message requesting to start an artificial intelligence process comprising an artificial intelligence objective or an identification code. The method further includes receiving, at the first network node from the second network node, a first reply message indicating at least one of the artificial intelligence process has started, the identifier, a request indicator for a model for the artificial intelligence process, or a failure message.

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Shenzhen, China

Zhuang Liu