Intent-Based Network Slice Assignment with Dynamic Reprioritization
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Solution Overview
Problem
Current network slice selection methods in 5G networks often fail to ensure that network slices consistently meet the intended Quality of Service (QoS) and Quality of Experience (QoE) due to inadequate resource allocation and lack of real-time monitoring, leading to suboptimal performance and user experience.
Innovation Solution
A method and system for intent-based network slice assignment, which defines and monitors network slice instances to determine if they meet the intended performance metrics, and reprioritizes resources by allocating or deallocating resources based on performance analytics and congestion levels to ensure optimal slice performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network slice selection is performed without real-time monitoring and dynamic resource allocation, then the system complexity is reduced, but the Quality of Service and Quality of Experience cannot be consistently ensured
Solution Approach 1:
The patent implements continuous monitoring of network slice performance metrics and uses this feedback to dynamically adjust resource allocation. The system monitors QoS parameters, compares them against targets, and triggers reprioritization when deviations are detected, creating a closed-loop control system that ensures consistent QoS and QoE while managing complexity through automated decision-making.
Solution Approach 2:
The patent introduces dynamic resource allocation mechanisms where network slice priorities and resource assignments are not fixed but can be adjusted in real-time based on current network conditions and performance requirements. This dynamic approach allows the system to adapt to changing demands while maintaining service quality, resolving the contradiction between reliability and complexity.
2Adaptability or versatility
If resources are statically allocated to network slices, then the allocation process is simplified, but the network cannot adapt to changing congestion levels and performance requirements
Solution Approach 1:
The patent establishes predetermined performance targets and thresholds for network slices before deployment. These pre-configured parameters enable the system to quickly respond to performance deviations without requiring complex real-time decision-making, as the response actions are predetermined based on monitored metrics, thus improving adaptability while controlling complexity.
Solution Approach 2:
The patent dynamically changes resource allocation parameters such as slice priorities, bandwidth assignments, and resource shares based on monitored performance metrics and network conditions. This parameter-based control mechanism allows flexible adaptation to changing requirements while maintaining manageable system complexity through standardized adjustment procedures.
3Productivity
If continuous monitoring and reprioritization of network slices is implemented, then performance optimization is improved, but the processing overhead and system complexity increase
Solution Approach 1:
The patent implements periodic monitoring and evaluation of network slice performance rather than continuous real-time analysis. By sampling performance metrics at defined intervals and comparing them against targets, the system achieves effective performance optimization while reducing processing overhead and complexity associated with constant monitoring and decision-making.
Data Source
AI summary
A method for network slice assignment including: defining an intent for at least one network slice; selecting at least one network slice instance has capability to meet the intent; monitoring the selected network slice instance to determine whether the selected network slice instance is achieving the intent; and if the intent is not being met, reprioritizing at least one network slice instance in order to prioritize the selected network slice instance; if the intent is being met, continue monitoring the selected network slice instance. A system for network slice assignment including: a selection module configured to define an intent for at least one network slice and select at least one network slice; a monitoring module configured to monitor the selected network slice instance; an analysis module configured to determine if the intent is being met; and a reprioritization module configured to reprioritize at least one network slice.