O-RAN Data Delivery Orchestration for Multi-Vendor 5G Scaling
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Solution Overview
Problem
Existing 5G wireless telecommunication networks face challenges in scalability, innovation, and cost-effectiveness due to vendor lock-in, which limits the deployment of best-in-class technologies and increases the cost-per-bit.
Innovation Solution
A disaggregated data construct is implemented in a cloud-native, Open Radio Access Network (O-RAN) 5G NR cellular telecommunication network, utilizing open APIs to decouple software from hardware, enabling flexible and virtualized network components that can be easily swapped and scaled, and leveraging multi-vendor collaboration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vendor lock-in is maintained in traditional 5G networks, then network stability and reliability are preserved, but scalability and innovation are limited
Solution Approach 1:
The patent segments the 5G network into independent virtualized network functions (VNFs) that can be individually managed, deployed, and scaled. This segmentation allows different vendors to provide different network functions through standardized interfaces, enabling scalability and innovation while maintaining overall network stability through modular architecture.
Solution Approach 2:
The patent implements a universal cloud-native architecture with standardized APIs and interfaces that can accommodate multiple vendors and different network functions. This universality allows the network to integrate best-in-class technologies from various vendors while maintaining consistent operation through a unified management plane.
2Adaptability or versatility
If best-in-class technologies from multiple vendors are deployed, then innovation and network capability are enhanced, but device complexity and integration difficulty increase
Solution Approach 1:
The patent introduces a cloud-native management platform and standardized API interfaces as intermediaries between multiple vendor technologies and the core network. This intermediary layer abstracts the complexity of integrating best-in-class technologies from different vendors, allowing network capability enhancement while managing integration complexity through unified interfaces.
Solution Approach 2:
The patent utilizes cloud-native virtualization parameters and software-defined networking approaches to dynamically configure and manage network functions. By changing from hardware-bound configurations to software-defined parameters, the system can integrate multiple vendor technologies with varying capabilities while maintaining manageable complexity through virtualized resource orchestration.
3Reliability
If traditional centralized network architecture is used, then network management is simplified, but latency and bandwidth efficiency are reduced
Solution Approach 1:
The patent transitions from a traditional centralized two-dimensional network architecture to a multi-dimensional cloud-native architecture that distributes network functions across edge computing nodes. This dimensional change allows the network to maintain simplified centralized management through cloud orchestration while reducing latency through distributed edge deployment closer to users.
Solution Approach 2:
The patent creates virtual copies of network functions that can be deployed at multiple locations including network edges. These copied virtual network functions handle local traffic processing, reducing latency for local operations while the original centralized management system maintains overall network coordination and simplicity.
4Reliability
If hardware-based network functions are used, then network performance is reliable, but cost-effectiveness and deployment flexibility are reduced
Solution Approach 1:
The patent replaces hardware-based network functions with software-based virtualized network functions (VNFs) that run on standardized cloud infrastructure. This substitution maintains performance reliability through virtualization technologies while dramatically improving deployment flexibility, as software functions can be rapidly deployed, scaled, and updated without physical hardware changes.
Solution Approach 2:
The patent changes the fundamental parameter of network function implementation from hardware-bound to software-defined. This parameter change enables the same network function to be deployed across different hardware platforms, improving deployment flexibility while maintaining performance reliability through consistent software virtualization layers that abstract underlying hardware differences.
Data Source
AI summary
Example embodiments are directed towards data delivery automation of a cloud-managed wireless telecommunication network. A disaggregated data construct is provided in a cloud-native, Open Radio Access Network (O-RAN), fifth-generation New Radio (5G NR) cellular telecommunication network. MNO cloud-native, O-RAN, 5G cellular telecommunication network engines are electronically mapped to components or services of a disaggregated network orchestrator. In an example embodiment, providing the disaggregated data construct may include electronically generating a mapping, via an open application programming interface (API), between a mobile network operator (MNO) cloud-native, O-RAN, 5G NR cellular telecommunication network service disaggregated slice design engine and a disaggregated intent engine of a disaggregated cellular telecommunication network orchestrator. The system operates the cloud-native, O-RAN, 5G NR cellular telecommunication network using the disaggregated data construct.