Network Slice Provisioning for Dynamic Slice Replacement
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Solution Overview
Problem
Existing network slice management systems face challenges in efficiently managing and optimizing network resources to meet the diverse and dynamic requirements of various applications and services, particularly in heterogeneous wireless environments with mixed device capabilities and traffic patterns.
Innovation Solution
Implementing a flexible and configurable network slice provisioning mechanism that adapts to specific criteria such as wireless device configurations, traffic load, and packet sizes, allowing for selective implementation of protocols to optimize resource allocation and service delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a unified network management approach is used, then system simplicity is maintained, but it cannot meet diverse requirements of different applications and services
Solution Approach 1:
The patent segments the network into multiple network slices, each tailored to specific application requirements (e.g., enhanced mobile broadband, ultra-reliable low-latency communication, massive machine type communication). This segmentation allows the network to meet diverse application needs while maintaining manageable complexity through modular slice design and independent configuration of each slice's parameters.
2Productivity
If network resources are allocated statically, then resource management is simple, but resource utilization efficiency decreases under dynamic traffic conditions
Solution Approach 1:
The patent implements dynamic resource allocation within network slices, allowing resource parameters (bandwidth, computing power, storage) to be adjusted in real-time based on traffic conditions and service requirements. This dynamic approach maximizes resource utilization efficiency while the slice-based framework maintains manageable complexity through structured resource management policies.
Solution Approach 2:
The patent enables flexible adjustment of network parameters (QoS metrics, resource allocation ratios, protocol configurations) within each network slice to optimize performance under varying conditions. This parameter flexibility allows the network to adapt to dynamic traffic patterns while maintaining systematic control through defined parameter ranges and adjustment policies.
3Adaptability or versatility
If all wireless devices use the same protocol set, then device compatibility is ensured, but performance optimization for specific device types is limited
Solution Approach 1:
The patent applies local quality by configuring protocol stacks and communication parameters specific to each device type and service requirement within appropriate network slices. For example, IoT devices in massive machine type communication slices receive optimized protocols for low power and low data rate, while URLLC devices receive protocols optimized for low latency and high reliability, thereby achieving device-specific performance optimization while maintaining overall system compatibility.
Data Source
AI summary
A wireless device receives, from a core network node, a message comprising an identifier of an allowed network slice, an identifier of an alternative network slice replacing the allowed network slice, and an information of a network slice group for the alternative network slice.