CN-121986514-A - Data processing method, system and communication equipment

Abstract

The present disclosure relates to a data processing method, system and communication device. The data processing method comprises the steps that a first node receives first data sent by a second node, wherein the first data are collected by the second node, and the first node sends second data to a third node, wherein the second data are used for model training of the third node. According to the embodiment of the disclosure, the second node collects and transmits the first data to the first node, and when the third node needs the data, the third node can obtain the needed data from the first node, so that the data can be reused, the second node does not collect the data repeatedly, and therefore waste of resources is avoided, and energy consumption is reduced.

Inventors

• YANG XING

Assignees

• 北京小米移动软件有限公司

Dates

Publication Date

20260505

Application Date

20240830

Claims (20)

1. A method of data processing performed by a first node, the method comprising: Receiving first data sent by a second node, wherein the first data is collected by the second node; And sending second data to a third node, wherein the second data is used for model training of the third node.
2. The method of claim 1, wherein prior to receiving the first data transmitted by the second node, the method further comprises: And sending first information to the second node, wherein the first information is used for indicating the second node to collect the first data and sending the first data to the first node.
3. The method of claim 2, wherein the first information indicates attribute information of a first data attribute for the second node to collect the first data matching the attribute information of the first data attribute.
4. A method according to claim 2 or 3, wherein the first information indicates a second data attribute for the second node to record attribute information of the second data attribute corresponding to the first data.
5. The method according to any of claims 1-4, wherein prior to sending the second data to the third node, the method further comprises: And receiving second information sent by the third node, wherein the second information is used for requesting the first node to send the second data to the third node.
6. The method of claim 5, wherein the second information indicates attribute information of a third data attribute, and wherein the sending the second data to the third node comprises: and sending the second data matched with the attribute information of the third data attribute to a third node.
7. The method of any of claims 3, 4, 6, wherein any of the first data attribute, the second data attribute, and the third data attribute comprises at least one of: Network conditions when data is collected; The device attribute of the second node; A data type; data format.
8. The method of claim 7, wherein the network conditions include at least one of: cell type; a network deployment scenario; wireless channel quality; the frequency of the cell is located; The location of the cell; distance between base stations; configuring a base station antenna; The base station transmits power; Parameter sets.
9. The method of claim 7 or 8, wherein the device attributes comprise at least one of: An equipment identifier; data quality of the collected data; The device movement speed; a device location; Configuring an equipment antenna; the rotational speed of the device.
10. The method according to any of claims 7-9, wherein the data type comprises one of: The first type of data is original data; And the second class of data is data matched with the input and output of a model, and the model is a model which needs to be trained by the third node.
11. The method of claim 10, wherein the second class of data comprises a plurality of sets of data, each set of data comprising third data corresponding to input data of the model and corresponding fourth data corresponding to output data of the model.
12. The method according to any of claims 7-11, wherein the data format comprises at least one of: Marking content by data; an application scene; The number of data elements included in the third data in each group of data of the second class of data; The number of data elements included in the fourth data in each group of data of the second class of data; data dimension.
13. The method of claim 12, wherein the data dimension comprises at least one of: cell measurement results; Beam measurement results; a device location; Data collection time; A timing sequence identifier of data collection; signal to interference plus noise ratio SINR of the serving cell; whether a link failure occurs; A synchronization state; a step-out state; Positioning reference signal measurement results; measuring whether the reporting event is satisfied; The device movement speed; channel state information CSI.
14. A method of data processing performed by a second node, the method comprising: and sending the collected first data to a first node, wherein the first node is used for sending second data to a third node, and the second data is used for model training of the third node.
15. The method of claim 14, wherein prior to sending the collected first data to the first node, the method further comprises: and receiving first information sent by the first node, wherein the first information is used for indicating the second node to collect the first data and send the first data to the first node.
16. The method of claim 15, wherein the first information indicates attribute information of a first data attribute, the method further comprising: The first data matching attribute information of the first data attribute is collected.
17. The method according to claim 15 or 16, wherein the first information indicates a second data attribute for the second node to record attribute information of the second data attribute corresponding to the first data.
18. The method according to claim 16 or 17, wherein either of the first data attribute and the second data attribute comprises at least one of: Network conditions when data is collected; The device attribute of the second node; A data type; data format.
19. The method of claim 18, wherein the network conditions comprise at least one of: cell type; a network deployment scenario; wireless channel quality; the frequency of the cell is located; The location of the cell; distance between base stations; configuring a base station antenna; The base station transmits power; Parameter sets.
20. The method of claim 18 or 19, wherein the device attributes comprise at least one of: An equipment identifier; data quality of the collected data; The device movement speed; a device location; Configuring an equipment antenna; the rotational speed of the device.

Description

Data processing method, system and communication equipment Technical Field The present disclosure relates to the field of communications technologies, and in particular, to a data processing method, a system, and a communications device. Background Machine learning algorithms are one of the most important implementations of current artificial intelligence (ARTIFICIAL INTELLIGENCE, AI) technology. The model can be obtained through training of a large amount of data, and the events and the like can be predicted and inferred through the model. In many fields, a model obtained by machine learning training can obtain very accurate prediction results. The wireless communication network can use AI to predict and infer, improving the performance of the system. Disclosure of Invention The embodiment of the disclosure provides a data processing method, a data processing system and communication equipment. According to a first aspect of embodiments of the present disclosure, there is provided a data processing method performed by a first node, the method comprising: Receiving first data sent by a second node, wherein the first data is collected by the second node; And sending second data to a third node, wherein the second data is used for model training of the third node. According to a second aspect of embodiments of the present disclosure, there is provided a data processing method performed by a second node, the method comprising: and sending the collected first data to a first node, wherein the first node is used for sending second data to a third node, and the second data is used for model training of the third node. According to a third aspect of embodiments of the present disclosure, there is provided a data processing method performed by a third node, the method comprising: and receiving second data sent by the first node, wherein the second data is used for model training of the third node. According to a fourth aspect of embodiments of the present disclosure, there is provided a first node comprising: The system comprises a transceiver module configured to receive first data sent by a second node, wherein the first data is collected by the second node, and further configured to send second data to a third node, wherein the second data is used for model training by the third node. According to a fifth aspect of embodiments of the present disclosure, there is provided a second node comprising: And a transceiver module configured to transmit the collected first data to a first node, wherein the first node is configured to transmit second data to a third node, and the second data is configured to perform model training for the third node. According to a sixth aspect of embodiments of the present disclosure, there is provided a third node comprising: And the receiving and transmitting module is configured to receive second data sent by the first node, wherein the second data is used for model training of the third node. According to a seventh aspect of embodiments of the present disclosure, there is provided a data processing system comprising: a first node configured to implement the method set forth in the first aspect; A second node configured to implement the method set forth in the second aspect; A third node configured to implement the method set forth in the third aspect. According to an eighth aspect of an embodiment of the present disclosure, there is provided a communication device including: One or more processors; wherein the communication device is configured to perform the method set forth in the first aspect, or the second aspect, or the third aspect. According to a ninth aspect of the embodiments of the present disclosure, a storage medium is presented, the storage medium storing instructions that, when run on a communication device, cause the communication device to perform a method as set forth in the first, or second, or third aspect. According to a tenth aspect of the embodiments of the present disclosure, a computer program product is proposed, comprising a computer program which, when executed by a communication device, implements the method as proposed in the first aspect, or the second aspect, or the third aspect. In the embodiment of the disclosure, the second node collects and transmits the first data to the first node, the first node can store the first data, and when the third node needs the data, the third node can obtain the needed data from the first node, so that the data can be repeatedly utilized, and the second node does not repeatedly collect the data, thereby avoiding the waste of resources and reducing the energy consumption. Drawings In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following description of the embodiments refers to the accompanying drawings, which are only some embodiments of the present disclosure, and do not limit the protection scope of the present disclosure in any way. FIG. 1A is an exemplary