Network Slice Management via Data Analytics for MOS Optimization
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Solution Overview
Problem
Current network slice management in 5G networks faces challenges in ensuring service experience quality due to coarse Service Level Agreement (SLA) templates and insufficient resource allocation, leading to potential waste or insufficiency of resources, which affects network slice performance.
Innovation Solution
A method and system that involve a data analytics function network element to collect and analyze service and network data, generating sets of quality of service parameters to optimize resource allocation and ensure specific service experience ranges, such as MOS requirements, across different network slices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If network management device determines SLA templates based only on service level requirements of tenants, then the determination process is simple, but the granularity of SLA templates becomes coarse and network slice performance cannot be ensured
Solution Approach 1:
The patent segments the SLA template determination process into multiple dimensions: service level requirements, network resource conditions, and performance metrics. By dividing the determination into these granular components, the system achieves fine-grained SLA templates that address specific network slice performance requirements while maintaining operational simplicity through automated multi-dimensional analysis.
2Productivity
If network management device allocates network resources based on rough SLA templates, then resource allocation is simple, but resources may be wasted or insufficient and network slice performance deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the network management device continuously monitors network resource usage and slice performance metrics, then adjusts resource allocation dynamically. This closed-loop feedback system ensures that resources are allocated precisely according to actual needs, preventing both waste and insufficiency while maintaining high network slice performance reliability.
Solution Approach 2:
The patent transforms static resource allocation based on rough SLA templates into dynamic resource allocation that adapts to changing network conditions and service requirements. The system continuously updates resource allocation decisions based on real-time monitoring data, ensuring optimal resource utilization and performance reliability under varying load conditions.
3Ease of operation
If management plane adjustment is used to ensure slice SLA, then control is centralized, but air interface conditions cannot be effectively managed and service experience is not improved
Solution Approach 1:
The patent enables local quality control at the air interface by allowing individual network slices to have customized quality parameters and control policies tailored to their specific service requirements. This local optimization complements centralized management, ensuring that service experience quality is maintained through slice-specific adaptations while preserving overall network coordination.
Data Source
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AI summary
Embodiments of this application relate to the field of communications technologies, and in particular, to a slice information processing method and an apparatus, to ensure that application experience of a terminal in each slice is satisfied in different MOS ranges. This solution includes: sending, by a management and control function network element, a first request to a data analytics function network element, where the first request requests first information of a slice network including at least one slice, and the first request includes identity information of the at least one slice; and receiving, by the management and control function network element, a first response from the data analytics function network element, where the first response includes the first information, and the first information is used for at least one of user control or application control of each of the at least one slice.