Network Slice Deployment with Automated Node-Based Transport Requirements
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Solution Overview
Problem
Conventional network architectures struggle with inefficiencies in establishing network slices due to manual parameter determination, making it difficult to meet the diverse and dynamic requirements of various user types and use cases in 5G systems.
Innovation Solution
A method for automating the deployment of network slices through a network management unit that determines transport requirements based on node instance information, using a transport network manager to configure resources efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual parameter determination is used for transport network establishment, then deployment control is simple, but deployment efficiency is low and cannot meet rapid service launch demands
Solution Approach 1:
The patent applies preliminary action by pre-defining transport requirement information templates that include all necessary parameters (bandwidth, latency, reliability, etc.) before deployment. The network management unit retrieves and fills these templates automatically based on node instance information, eliminating manual parameter determination and significantly improving deployment efficiency while maintaining systematic control through the template structure.
2Productivity
If automated transport network creation is implemented, then deployment efficiency improves, but system complexity increases
Solution Approach 1:
The patent implements self-service by enabling the network management unit to automatically determine transport requirement information based on node instance information without human intervention. The system autonomously retrieves templates, fills parameters, and sends transport request messages, achieving rapid automated network slice deployment while the modular architecture keeps system complexity manageable through clear separation of functions.
3Reliability
If comprehensive transport requirement information is collected, then service quality is improved, but information processing time increases
Solution Approach 1:
The patent resolves this contradiction by pre-configuring comprehensive transport requirement information templates that include all quality-critical parameters (bandwidth, latency, reliability, mobility, etc.). During deployment, the network management unit simply retrieves and populates these pre-structured templates automatically, ensuring complete service quality requirements are met without manual data collection, thus maintaining high reliability while minimizing processing time.
Data Source
AI summary
Embodiments of this application disclose network slice deployment methods, and relate to the field of communications technologies. In an example method, the first network manager obtains node instance information, wherein the node instance information comprises identifier information of the node instance or a network address of the node instance. The first network manager determines transport requirement information corresponding to the node instance information, wherein the transport requirement information comprises one or more of a transport deployment specification, a latency, bandwidth, location constraint information, affinity and anti-affinity rules, bearer information, a network type, a reliability requirement, a mobility requirement, or isolation requirement information. The first network manager sends a transport request message to a transport network manager, wherein the transport request message carries the transport requirement information and the node instance information.