Zte Corporation

Tencent Technology (shenzhen) Company Limited

Other

Tencent Technology Company Limited

Jiajun Chen

Yin Gao

Zhuang Liu

Dapeng Li

Jiren Han

Xiaoyu Liu

Pu Wang

Ke Zhang

Wei Xiao

Kai Hua Wang

Haijun Liu

Xiaoming Huang

Shitao Wang

Xinxing Chen

Xuecheng Luo

Piao Ding

Binji Luo

Xiaozheng Huang

Zhongnan Li

Weilie Zhou

Xingjian Qi

Yannan Wang

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

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

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

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.

Artificial intelligence (AI) related signalling flow over backhaul interfaces

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

A bandwidth extension (BWE) method includes: determining parameters of a low-frequency spectrum of a narrowband signal; inputting the parameters of the low-frequency spectrum into a neural network model, and obtaining a correlation parameter based on an output of the neural network model; obtaining a target high-frequency amplitude spectrum based on the correlation parameter and a low-frequency amplitude spectrum; obtaining a high-frequency spectrum based on a low-frequency phase spectrum and the target high-frequency amplitude spectrum of the narrowband signal; and obtaining a broadband signal after BWE based on the low-frequency spectrum and the high-frequency spectrum.

Bandwidth extension method and apparatus, electronic device, and computer-readable storage medium

A picture file processing method, apparatus, and computer readable medium are provided. The method includes parsing a picture file, to obtain a picture header information data segment, first stream data, and second stream data of a first image thereof. The first stream data of the first image is decoded to generate red-green-blue (RGB) data of the first image. The second stream data of the first image is decoded to generate Alpha data of the first image. Red-green-blue-alpha (RGBA) data corresponding to the first image are generated according to the RGB data and the Alpha data.

Image file processing method, system and storage medium

The present disclosure discloses a method, apparatus and system for transmitting multimedia data. After accessing to a multimedia conference room, a client encodes multimedia data to be transmitted, and transmits the encoded multimedia data to a multi-point control unit. The client receives a multimedia data packet sent by the multi-point control unit. The multimedia data packet is obtained by the multi-point control unit via encapsulating multimedia data sent by at least one client in the multimedia conference room. The client decodes the multimedia data packet, composes multimedia data obtained after decoding the multimedia data packet, and displays the composed multimedia data.

Method, apparatus and system for transmitting multimedia data

The disclosure relates to a method and system for audio/video communication, and a client. The method includes setting up a connection with a server for audio/video communication, opening multiple windows for the audio/video communication; obtaining an enabling instruction for enabling audio/video communication of any one of the windows for audio/video communication amongst the multiple windows for audio/video communication; disabling audio/video communication for other windows for audio/video communication amongst the multiple windows for audio/video communication according to the enabling instruction. The method and system for audio/video communication obtain enabling instructions from the user for enabling any window for audio/video communication, and disable audio/video communication of the other windows for audio/video communication according to the enabling instruction, while the user would not have to close those unneeded windows for audio/video communication one by one, thereby improving the operation facility greatly, saving time and loosening the user's burden, and meeting the users' demands.

Method and system for audio/video communication, and client thereof

Aligned nanowire arrays were coated with semiconductor shell layers, and optionally with noble metal nanoparticles for use as three dimensional gas sensors. The sensors show room-temperature responses to low concentrations of various gases. Arrays containing different sensor types can discriminate among different gases, based upon changes in conductivity and response times.

Aligned, coated nanowire arrays for gas sensing

A method is disclosed for folder transfer based on instant messaging (IM). The method includes receiving from an IM sender a transfer request for transferring a folder-to-be-transferred. The folder-to-be-transferred may contain a plurality of files. The method also includes receiving from the IM sender folder information of the folder-to-be-transferred, determining a receiving folder corresponding to the folder-to-be-transferred on a predetermined storage location, and determining files-to-be-transferred from the plurality of files corresponding to the folder-to-be-transferred based on the folder information. Further, the method includes sequentially sending one transfer request for each of the files-to-be-transferred to the IM sender through a same network connection, receiving the files-to-be-transferred sent sequentially by the IM sender through the same network connection, and storing the received files-to-be-transferred in the receiving folder.

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Shenzhen, China

Jiajun Chen