Containerized SON Analytics for Real-Time Multi-Network Optimization
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Solution Overview
Problem
Existing networks face challenges in optimizing and managing large volumes of real-time data from various sources, including end-users and network conditions, especially in 5G and IoT environments, leading to inefficiencies in resource utilization and user experience.
Innovation Solution
A virtualized real-time Self Optimizing Network (SON) function that processes data through container virtualization and agile analytics, enabling self-configuration, self-optimization, and self-healing across any technology, any haul, any slice, and any service, using Parallel Wireless' OpenRAN and Network Software Suite.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time data processing and analytics are implemented across multiple network functions, then network optimization and user experience improve, but system complexity and computational resource requirements increase
Solution Approach 1:
The patent segments the SON functionality into multiple independent Virtual Network Functions (VNFs) that can be deployed and executed separately on commodity hardware. Each VNF handles specific network optimization tasks (mobility management, handover control, parameter optimization) independently, allowing parallel processing without increasing overall system complexity. This modular approach enables real-time analytics across multiple functions while maintaining manageable system architecture through standardized interfaces and orchestration.
2Adaptability or versatility
If container virtualization and agile analytics are deployed on a virtualized platform, then network self-optimization capability improves, but deployment and management complexity increase
Solution Approach 1:
The patent implements a universal virtualized platform that hosts multiple SON VNFs using container technology, enabling the same infrastructure to support diverse network optimization functions across different network conditions and scenarios. The platform provides standardized deployment templates and automated provisioning that simplify management while delivering adaptable self-optimization capabilities. Orchestration tools manage the lifecycle of containerized VNFs, abstracting complexity from operators while maintaining versatile optimization functionality.
3Reliability
If real-time network adjustments are made across any technology, any haul, any slice, and any service, then network performance and user experience improve, but processing time and computational load increase
Solution Approach 1:
The patent implements pre-computed optimization policies and pre-configured VNF chains that are prepared in advance based on historical network data and predicted scenarios. When real-time network events occur, the system selects and executes pre-prepared optimization actions rather than computing them from scratch, significantly reducing processing time. The system maintains multiple pre-configured VNF deployment templates that can be rapidly instantiated and activated based on current network conditions, enabling fast real-time adjustments without extensive computational delay.
Data Source
AI summary
Systems, method sand computer readable medium are provided for proving real-time Self Optimizing Network (SON) Virtual Network Function (VRF) included as part of the HNG. In one embodiment data from connected devices is forwarded to the HNG; the data is organized into virtualized containers; and the data is processed by agile analytics and results are displayed to a user.