Network Slice Deployment via Resource Utilization Orchestration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current technologies lack mechanisms to dynamically create and manage network slices in future wireless networks, which are essential for meeting diverse performance metrics, scalability, and flexibility requirements, especially in next-generation 5G networks.
Innovation Solution
A network slice management system is introduced, comprising a deployment device and an inventory device that calculates optimal network slice deployment layouts based on cost information and service requests, using an intent-based interface to translate user inputs into network-level requirements, and orchestrates the provisioning of network slices across various resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If network slices are dynamically created and managed based on resource utilization, then network resource utilization efficiency is improved and costs are minimized, but system complexity increases due to the need for orchestration and management mechanisms
Solution Approach 1:
The patent introduces a network slice management system comprising a deployment device and an inventory device as intermediary components. The deployment device receives service requests, determines network slice deployment layouts, and interacts with the inventory device to obtain resource information. This intermediary management layer orchestrates the dynamic creation and allocation of network slices based on resource utilization, improving efficiency while centralizing the complexity in manageable components rather than distributing it throughout the entire network infrastructure.
Solution Approach 2:
The system dynamically changes network parameters including resource allocation, slice deployment configurations, and cost metrics based on real-time resource utilization conditions. The deployment device determines optimal deployment layouts by adjusting these parameters to balance resource efficiency with service requirements, allowing the network to adaptively optimize performance without requiring permanent complex infrastructure changes.
2Adaptability or versatility
If network slices are provisioned to meet diverse service requirements, then adaptability and service quality are improved, but device complexity and management overhead increase
Solution Approach 1:
The patent segments the network into multiple independent network slices, each tailored to specific service requirements such as enhanced mobile broadband, ultra-reliable low-latency communication, or massive machine-type communication. The deployment device divides the network resource pool into distinct sliceable units that can be independently managed and allocated. This segmentation allows diverse service requirements to be met through customized slice configurations while keeping management overhead contained within the orchestration layer rather than requiring complex end-to-end customization for each service.
Solution Approach 2:
The network slice management system implements universal mechanisms that handle multiple service types through a common framework. The deployment device and inventory device provide multi-functional capabilities to manage different slice types, resource allocation patterns, and service requirements using unified procedures. This universality enables the system to adapt to diverse services without proportionally increasing management complexity, as the same core mechanisms serve multiple purposes.
3Productivity
If cost calculation is performed for network slice deployment, then resource allocation efficiency is improved, but measurement and calculation complexity increases
Solution Approach 1:
The inventory device implements self-service functionality by automatically maintaining updated information about network resource capacities, availability, and associated costs. Rather than requiring external manual input or complex external calculation systems, the inventory device autonomously tracks resource states and provides this information to the deployment device. This self-service approach improves resource allocation efficiency through automated cost-aware decision-making while minimizing measurement complexity by eliminating manual data collection and verification processes.
Data Source
AI summary
A method, a device, and a non-transitory storage medium are described in which a network slice deployment service is described. The network slice deployment service includes storing network resource and capability information that indicates available network resources in a network. Network level requirement information pertaining to a request for network service from a user is generated. The network level requirement information is used to select available network resources based on the network resource capability information. The network slice deployment service calculates network resource utilization associated with available network resources so that optimal usage of network resources can be selected and end-to-end network slice deployment layout information can be generated and used to provision a network slice deployment layout that supports the request for network service.