Dynamic Network Slice Provisioning for Adaptive Resource Allocation
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Solution Overview
Problem
Existing network slice management systems face challenges in efficiently managing and optimizing network resources for diverse wireless devices and applications, particularly in heterogeneous environments with varying traffic loads and capabilities, leading to suboptimal performance and resource utilization.
Innovation Solution
Implementing a flexible network slice provision mechanism that dynamically adjusts network resources based on device capabilities, traffic characteristics, and load conditions, utilizing service-based architecture and network functions to optimize network slicing for improved resource allocation and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network slice provision is managed with static resource allocation, then network configuration is simple, but network efficiency and resource utilization are suboptimal
Solution Approach 1:
The patent implements dynamic network slice provisioning by continuously monitoring network conditions (traffic patterns, device capabilities, load levels) and automatically adjusting resource allocation in real-time. The system transitions from static to dynamic configuration, allowing network slices to adapt their resource budgets based on actual demand and performance metrics, thereby improving efficiency without requiring complex manual reconfiguration.
Solution Approach 2:
The system establishes feedback loops where network performance data is collected, analyzed, and used to automatically adjust slice provisioning decisions. Monitoring mechanisms track key performance indicators and feed this information back to the provisioning system, which then makes data-driven adjustments to resource allocation, ensuring optimal network efficiency while automating the management process.
2Productivity
If network resources are allocated uniformly to all devices, then device complexity is reduced, but resource allocation optimality deteriorates
Solution Approach 1:
The patent applies local quality by tailoring network resource allocation to individual device characteristics and traffic patterns. Instead of uniform treatment, the system assesses device capabilities, current load conditions, and traffic types to assign appropriate resource budgets and QoS parameters to each device or slice, optimizing resource utilization while managing complexity through automated assessment mechanisms.
Solution Approach 2:
The system dynamically adjusts provisioning parameters such as resource budgets, priority levels, and QoS settings based on real-time monitoring of network conditions and device performance. By continuously updating these parameters rather than using fixed allocations, the system achieves optimal resource distribution while the automation of parameter adjustment manages the complexity of multi-parameter optimization.
3Productivity
If manual network slice configuration is used, then control precision is high, but provisioning time and operational efficiency are reduced
Solution Approach 1:
The system implements self-service provisioning where the network management system automatically performs slice configuration, resource allocation, and optimization without requiring manual intervention. The automated system independently monitors conditions, makes provisioning decisions, and adjusts resources based on predefined policies and real-time data, dramatically reducing provisioning time while maintaining operational simplicity through centralized automation.
Solution Approach 2:
The system performs preliminary actions by pre-configuring provisioning policies, resource templates, and decision logic before actual slice deployment is needed. These pre-established frameworks enable rapid automated provisioning when slices are required, as the system only needs to apply pre-defined rules to current conditions rather than creating configurations from scratch, thus improving speed while maintaining operational simplicity.
Data Source
AI summary
A wireless device receives, from a core network node, one or more messages comprising an identifier of a network slice, an identifier of an alternative network slice mapped to the network slice, and an identifier of a network slice group associated with the alternative network slice.