AI Conflict Resolution Layer for Open RAN Automation
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Solution Overview
Problem
Conventional approaches to resolving conflicts in radio access network (RAN) automation are static and based on policy rules, which are inadequate for managing complex conflicts arising from overlapping applications and conflicting intents in open RAN architectures.
Innovation Solution
An AI and ML-enabled framework providing Conflict Identification as a Service (CIaaS), Conflict Resolution as a Service (CRaaS), Digital Twin as a Service (DTaaS), and Monitoring as a Service (MaaS) to identify, resolve, and monitor conflicts in RAN applications, utilizing AI/ML for automated and scalable conflict resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional static policy rules are used to resolve conflicts, then implementation simplicity is maintained, but conflict resolution effectiveness deteriorates in complex open RAN scenarios with multiple overlapping applications
Solution Approach 1:
The patent replaces static policy rule-based conflict resolution with an AI/ML-based automated system. The AI model analyzes application data, identifies conflicts, and generates resolutions dynamically, substituting the mechanical rule-based approach with an intelligent system that adapts to complex RAN scenarios involving multiple overlapping applications from different vendors.
2Adaptability or versatility
If multiple applications from different vendors are deployed in open RAN architecture, then system versatility and innovation are improved, but conflict complexity increases due to overlapping control actions
Solution Approach 1:
The patent introduces an AI-based conflict resolution system as an intermediary layer between multiple RAN applications. This intermediary analyzes the intents and control actions of different applications, identifies conflicts, and coordinates resolutions, enabling multiple vendor applications to coexist without direct interference while maintaining system versatility.
Solution Approach 2:
The patent creates a universal conflict resolution platform that can handle conflicts from multiple different applications and vendors through a single AI system. The platform provides multi-functional capabilities including conflict identification, analysis, resolution generation, and monitoring, making it applicable to diverse RAN scenarios regardless of the specific applications involved.
3Device complexity
If static policy rules are used for conflict resolution, then system simplicity is maintained, but automation capability is insufficient for dynamic RAN optimization needs
Solution Approach 1:
The patent transforms the static conflict resolution system into a dynamic one by implementing AI/ML models that continuously learn from RAN operation data. The system adapts its conflict identification and resolution strategies based on changing network conditions, application behaviors, and conflict patterns, enabling automated optimization that evolves with the RAN environment.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, obtaining first data sourced from a first plurality of applications, analyzing the first data to identify a conflict involving a radio access network of communication network, resulting in a first identified conflict, identifying a first plurality of candidate resolutions for addressing the first identified conflict, selecting a resolution from the first plurality of candidate resolutions, resulting in a first selected resolution, and implementing the first selected resolution. Other embodiments are disclosed.