Network Element Data Request Merging for Overlapping Objects
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Solution Overview
Problem
In the 5th Generation Mobile Communication Technology Core Network (5GC) system, the Network Data Analytics Function (NWDAF) independently processes data requests from different initiators, leading to duplicated efforts and inefficient resource consumption due to overlapping requests.
Innovation Solution
A data processing method that identifies intersection objects between multiple data requests and requests data information only from a server based on these intersections, reducing redundant data acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the NWDAF independently processes data requests from different initiators, then each request can be handled separately, but resource consumption increases due to duplicated efforts and overlapping requests
Solution Approach 1:
The patent merges multiple data requests into a single unified request when they share common data objects. The NWDAF identifies overlapping requests and combines them, processing common objects once and then distributing results to all requesting initiators, thereby reducing resource consumption while maintaining operational independence
Solution Approach 2:
The patent implements a universal data collection mechanism where a single data acquisition process serves multiple initiators simultaneously. The NWDAF creates a unified data collection task that can fulfill requests from different initiators, making the system multi-functional and reducing redundant processing
2Reliability
If the NWDAF requests data information separately for each request, then all data needs can be met, but the number of server requests increases and network bandwidth is wasted
Solution Approach 1:
The patent merges multiple data requests into a single unified request when they share common data objects. The NWDAF identifies overlapping requests and combines them, processing common objects once and then distributing results to all requesting initiators, thereby reducing resource consumption while maintaining operational independence
Solution Approach 2:
The patent performs preliminary analysis of incoming requests to identify overlaps before executing data collection. By pre-processing requests and grouping them by common data objects, the system prepares consolidated collection tasks that reduce the total number of server requests while ensuring all data needs are met
3Device complexity
If the NWDAF processes each request independently, then request handling is simple, but CPU resources are wasted on duplicate data processing
Solution Approach 1:
The patent merges multiple data requests into a single unified request when they share common data objects. The NWDAF identifies overlapping requests and combines them, processing common objects once and then distributing results to all requesting initiators, thereby reducing resource consumption while maintaining operational independence
Solution Approach 2:
The patent creates copies of processed data results and distributes them to multiple initiators who requested the same data. Instead of re-processing duplicate requests, the system copies the already-computed results and delivers them to all relevant parties, significantly reducing CPU resource consumption
Data Source
AI summary
Disclosed are a data processing method, a network element and a computer-readable storage medium. The data processing method may include: receiving first request information, wherein the first request information is used to request data information corresponding to a first object; receiving second request information, wherein the second request information is used to request data information corresponding to a second object; in response to presence of an intersection object between the first object and the second object, determining target data information which needs to be acquired from a server according to the intersection object; and requesting the target data information from the server.


