Network Data Analytics Function for Dynamic Slice Configuration
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Solution Overview
Problem
In 5G mobile communications, existing network slicing technologies face challenges in dynamically adjusting network performance to respond to changes in service features and performance requirements in a timely manner, leading to latency issues and inability to meet dynamic service demands.
Innovation Solution
A communication method and apparatus that utilize a network data analytics function to obtain and adjust network running information target values based on association relationships between application information and network running information, enabling timely responses to dynamic changes in service features or performance requirements by dynamically adjusting network configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If network slicing is created using manual configuration and deployment, then network isolation and service differentiation are achieved, but the system cannot respond timely to dynamic changes in service features or performance requirements
Solution Approach 1:
The patent implements a feedback mechanism where the network management system continuously monitors service performance metrics and automatically adjusts network slice configurations. The system receives feedback about service feature changes and performance requirements, then dynamically reconfigures network slices to maintain optimal service delivery without manual intervention.
Solution Approach 2:
The patent transforms the static manual configuration process into a dynamic automated system. Network slice parameters such as bandwidth allocation, resource distribution, and service policies are made dynamically adjustable based on real-time service demands. The system can rapidly provision, modify, or tear down network slices in response to changing conditions.
2Adaptability or versatility
If network slice parameters are manually configured, then initial service deployment is achieved, but dynamic adjustment of network running information target values is not possible
Solution Approach 1:
The patent enables the network management system to automatically perform configuration tasks without human intervention. The system self-adjusts network slice parameters by monitoring service performance, calculating optimal target values for network running information, and automatically applying configurations. This eliminates the need for operators to manually adjust complex network parameters.
Solution Approach 2:
The patent implements automatic change management for network parameters. The system monitors service performance metrics and automatically modifies network slice parameters such as bandwidth, latency thresholds, and resource allocation when performance deviates from target values. This allows dynamic parameter adjustment while maintaining service level agreements.
3Productivity
If automated network slice management is implemented, then dynamic service response is improved, but the system requires complex analytics and coordination functions
Solution Approach 1:
The patent divides the complex network management system into distinct functional modules: a network slice management function for high-level orchestration, a network data analytics function for performance monitoring and target value calculation, and automated configuration execution components. Each module has a specific responsibility, making the overall system more manageable despite its complexity.
Solution Approach 2:
The patent introduces a network data analytics function as an intermediary between service requirements and network configuration. This analytics function acts as a mediator that translates service performance requirements into specific network running information target values, then coordinates with the network slice management function to implement appropriate configurations. This intermediary layer simplifies the coordination between different system components.
Data Source
AI summary
This application discloses a communication method and a communications apparatus, and relates to the communications field. The communication method includes: obtaining, by a network data analytics function network element, an application information target value of a network slice in a specified location area; obtaining, by the network data analytics function network element, a network running information target value of the network slice in the specified location area based on an association relationship between application information and network running information and the application information target value, where the association relationship is used to describe an association relationship between application information and network running information when a communications service provided by the network slice in the specified location area meets a service level agreement SLA; and sending, by the network data analytics function network element, the network running information target value to an operation, administration, and maintenance server.