Task-specific measurement input optimization
By implementing input-output correlation analysis between the first device and the second device in the communication network, and optimizing the measurement input in the data analysis task, the problem of inefficiency in the prior art is solved, and efficient resource utilization and network performance are achieved.
CN119654846APending Publication Date: 2025-03-18ALCATEL LUCENT SHANGHAI BELL CO LTD +1
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Patent Information
- Application Number
- CN202280098800.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2022-08-05
- Publication Date
- 2025-03-18
AI Technical Summary
Technical Problem
When dealing with diversified services and needs, existing communication networks face inefficient correlation analysis between measurement input and target output in data analysis tasks, resulting in waste of resources and performance losses.
Method used
Provided is an apparatus and method to automatically analyze the correlation between the input-output relationship between the first device and the second device, and to optimize the use of measurement data, thereby reducing resource consumption and improving task performance.
Benefits of technology
By optimizing measurement input, it reduces unnecessary resource consumption in data analysis tasks, improves network performance and efficiency, and adapts to the diversity of different services and needs.
✦ Generated by Eureka AI based on patent content.
Abstract
Example embodiments of the present disclosure relate to task-specific measurement data optimization. A first device receives, from a second device, a request for input-output correlation analysis with respect to a data analysis task. In response to the request, the first device performs an input-output correlation analysis on a set of measurement inputs and target outputs of the data analysis task, and transmits a response to the second device indicating a result of the input-output correlation analysis.
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