Huawei Technologies Co., Limited

Zhenhang Sun

Jun Wu

Liang Zhang

Gang Chen

Jian Mg Cheng

Jian Chen

Dewei Bao

Qikun Wei

Haonan Ye

Xiaofei Bai

Xiaoyun Si

Lv Ding

Liang Tao

Embodiments of this application disclose a radio frequency resource allocation method, apparatus, device, system, and a storage medium. The method includes: obtaining radio frequency information of an access point AP (for example, RSSI signal strength between the AP and each neighboring AP, and data traffic of the AP in a data collection period), predicting, based on the radio frequency information of the AP, load of the AP that is in target duration after a current moment, and allocating a radio frequency resource to the AP based on the load of the AP. This implementation can reduce actual interference on an entire network and improve user experience.

Radio frequency resource allocation method, apparatus, device and system, and storage medium

A fault root cause identification method, apparatus, and device. For a failure flow that occurs when a connectivity fault for access in a network occurs, a target success flow that has a high similarity with the failure flow is determined from a plurality of success flows in the network based on the failure flow. Then, a target fault root cause of the failure flow is obtained based on the failure flow, the target success flow, and a trained first machine learning model. In this way, the target success flow related to the failure flow is determined from the plurality of success flows in the network, and the first machine learning model trained by using a large quantity of success flows and failure flows whose feature indicators are slightly different from each other is used.

Fault root cause identification method, apparatus, and device

A data processing method, a server, and a data collection device are provided. The method includes: obtaining, by a server, first network key performance indicator KPI data and performance data of a first set-top box STB, where the first network KPI data is network KPI data of a first video service stream, and the first STB is an STB that receives the first video service stream; and calculating, by the server, first video quality of experience QoE of the first video service stream based on an associated model, the first network KPI data, and the performance data of the first STB, where the associated model is a model obtained through training based on historical data, and the associated model is used by the server to calculate video QoE based on network KPI data and performance data of an STB.

Data processing method, server, and data collection device

This application provides a network quality monitoring method and apparatus. A network quality monitoring apparatus obtains network running data, where the network running data includes dynamic data corresponding to a plurality of sampling periods and static data that are of an AP; determines one channel efficiency value of the AP based on each of a plurality of groups of dynamic data of the AP, so as to obtain a plurality of channel efficiency values of the AP; determines a channel efficiency baseline of the AP based on the static data of the AP; and determines, based on the plurality of channel efficiency values of the AP and the channel efficiency baseline of the AP, network quality of a wireless local area network in which the AP is located.

Network quality monitoring method and apparatus

Growing community of inventors

Nanjing, China

Zhenhang Sun