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Network data collection method and device, network equipment, user equipment and storage medium

A technology for network equipment and network data, applied in wireless communication, electrical components, etc., can solve problems such as unreachable, laborious, and inability to obtain global network data, etc., to improve user experience, optimize network planning and configuration, and optimize services. The effect of quality of service

Pending Publication Date: 2020-11-10
BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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AI Technical Summary

Problems solved by technology

The current network optimization mainly relies on manual debugging, which is labor-intensive. The introduction of artificial intelligence technology can simplify manual operations and improve optimization performance
[0003] In 5G and even future network construction, network performance debugging requires network data at different times, and artificial intelligence algorithms are needed to optimize the network. This requires a large amount of global data to support network optimization. Currently, global network data cannot be obtained. to better network performance

Method used

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  • Network data collection method and device, network equipment, user equipment and storage medium
  • Network data collection method and device, network equipment, user equipment and storage medium
  • Network data collection method and device, network equipment, user equipment and storage medium

Examples

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Embodiment Construction

[0025] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the embodiments of the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the embodiments of the invention as recited in the appended claims.

[0026] Terms used in the embodiments of the present disclosure are for the purpose of describing specific embodiments only, and are not intended to limit the embodiments of the present disclosure. As used in the examples of this disclosure and the appended claims, the singular forms "a", "said" and "the" are also intended to include the plural forms unles...

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Abstract

The invention relates to a network data collection method and device, network equipment, user equipment and a storage medium. The method comprises the following steps: network equipment sends first indication information; wherein the first indication information is used for indicating user equipment UE to record network data. According to the invention, the UE records the network data based on theindication information according to the indication information sent by the network equipment, and reports the recorded network data according to the indication information sent by the network equipment; as the UE is distributed in each space in the network, after a large amount of UE records and reports network data, the network side can optimize the network based on the network data reported bythe UE in combination with an artificial intelligence algorithm, a neural network technology and the like, so that better network planning and configuration can be provided, better service quality canbe provided for users, and the user experience is improved. And the use experience of the mobile network of the user is improved.

Description

technical field [0001] The present disclosure relates to network data collection technologies, and in particular, to a network data collection method and device, network equipment, user equipment (User Equipment, UE) and a storage medium. Background technique [0002] Network performance directly affects the service quality of the business, which in turn affects the user experience, so continuous optimization is required. The current network optimization mainly relies on manual debugging, which is time-consuming and labor-intensive. The introduction of artificial intelligence technology can simplify manual operations and improve optimization performance. [0003] In 5G and even future network construction, network performance debugging requires network data at different times, and artificial intelligence algorithms are needed to optimize the network. This requires a large amount of global data to support network optimization. Currently, global network data cannot be obtained...

Claims

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Application Information

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IPC IPC(8): H04W24/02H04W24/08
CPCH04W24/02H04W24/08H04W68/00H04W24/10H04W48/12H04W68/005
Inventor 杨星
Owner BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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