5G Network Slice Orchestration With Integrated Data Analytics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional network approaches in mobile networks are inflexible and complex due to fixed service designs, lacking integration of network analytics during deployment, leading to inefficiencies in managing virtualized 5G networks.
Innovation Solution
A method and system for zero-touch interworking of network orchestration with data platform and analytics, utilizing a cellular network control system to process data characteristics, create data models, and instantiate network slices and services dynamically, integrating data as a first-class component in the orchestration process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional fixed service designs are used in mobile networks, then network management is simpler, but network flexibility and adaptability are reduced
Solution Approach 1:
The patent implements dynamic service design where network services can be modified, updated, and evolved without requiring complete redesign. The service orchestration system enables dynamic configuration of network functions and services, allowing the network to adapt to changing requirements while maintaining manageable complexity through automated orchestration.
Solution Approach 2:
The patent segments network services into modular components including network service descriptors (NSD), virtualized network functions (VNFs), and network function descriptors (NFD). This segmentation allows independent management and evolution of service components, improving flexibility while keeping overall system complexity manageable through structured organization.
2Productivity
If network analytics are performed post-deployment only, then deployment process is simpler, but service optimization and responsiveness are reduced
Solution Approach 1:
The patent incorporates data processing and analytics capabilities into the service deployment phase itself, rather than only post-deployment. The service orchestration system processes data characteristics during deployment to create data models and configure services, enabling proactive optimization and reducing the need for later corrections.
Solution Approach 2:
The patent introduces a service orchestration system as an intermediary that bridges service deployment and data analytics. This intermediary processes data characteristics, creates data models, and translates them into service configurations, enabling seamless integration of analytics into the deployment workflow without directly coupling deployment and analytics systems.
3Adaptability or versatility
If data functions are integrated at each deployment step, then service agility is improved, but system complexity increases
Solution Approach 1:
The patent creates a universal service orchestration system that handles multiple functions including data processing, data model creation, service configuration, and service instantiation through a single integrated platform. This multi-functionality improves service agility while managing complexity by consolidating diverse operations into a unified system rather than requiring separate specialized systems.
Solution Approach 2:
The patent utilizes parameter changes in data characteristics as the basis for automatic service configuration. By monitoring and responding to changes in data parameters, the orchestration system dynamically adjusts service configurations without requiring complex manual intervention, improving agility while keeping the control logic relatively simple and parameter-driven.
4Ease of operation
If external entities can request network services directly, then service accessibility is improved, but security and control requirements increase
Solution Approach 1:
The service orchestration system acts as an intermediary between external entities and the core network infrastructure. It receives service requests from external entities, processes them through standardized interfaces, and translates them into appropriate network configurations. This intermediary layer improves accessibility for external users while maintaining security and control by preventing direct access to critical network components.
Data Source
AI summary
Systems, methods, and non-transitory, machine-readable media for zero-touch interworking of network control with data platform and analytics in virtualized deployment are disclosed. Responsive to a network service request for service location identifiers, data from data sources may be processed, and indicia of data characteristics may be analyzed to create or develop a data model. Configuration specifications may be created to instantiate a network slice and network services as a function of the data characteristics, conforming to quality of service parameters and service location identifiers. A log mapped to the request may be created and included in a template specifying a data observability framework and resources for the network slice and network services. The slice and services may be instantiated with the configuration specifications, with data services provided to user equipment of the external entity, and with the cellular network consequently providing data services to user equipment.