5G RAN Slice Quarantine Control for Outage Resiliency
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Solution Overview
Problem
Existing wireless networks face challenges in mitigating network outages and maintaining quality of service due to equipment failures, severe weather, or malicious attacks, with real-time root-cause analysis being difficult and network resiliency control being complicated by limited applications and imperfect Fault-Attack-Failure-Outage (FAFO) intelligence.
Innovation Solution
A Quarantine Control Network (QCN) is implemented using AI modeling and FAFO sensors to determine containment and restoration of network outages, with sentinels controlling network resources based on FAFO intelligence to minimize the negative effects of FAFO events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional network control methods are used, then network complexity is reduced, but network resiliency and real-time outage mitigation capability deteriorate
Solution Approach 1:
The patent segments the network control function into multiple distributed sentinels deployed across different network nodes. Each sentinel independently monitors and controls local network resources, eliminating the need for a single complex centralized controller while improving real-time response capability and network resiliency.
Solution Approach 2:
The patent implements preliminary action by pre-configuring quarantine resources and establishing quarantine control networks before outages occur. Sentinels continuously monitor network conditions and can rapidly activate pre-planned containment strategies, enabling fast response to FAFO events without complex real-time decision-making.
2Measurement precision
If real-time root-cause analysis is implemented, then outage mitigation precision is improved, but system complexity and processing requirements worsen
Solution Approach 1:
The patent introduces FAFO sensors as intermediaries between network events and analysis systems. These sensors detect and categorize Fault-Attack-Failure-Outage conditions, providing structured information to sentinels that simplifies real-time analysis while maintaining high precision in identifying root causes.
Solution Approach 2:
The patent enables self-service through AI modeling that allows sentinels to autonomously analyze network conditions and determine appropriate containment actions without external intervention. The system self-manages the complexity of real-time analysis through distributed intelligence at each network node.
3Reliability
If network quarantine resources are allocated, then outage containment capability is improved, but available resources for existing services deteriorate
Solution Approach 1:
The patent implements preliminary allocation of quarantine resources during normal network operation, establishing dedicated containment networks before outages occur. This pre-positioning allows rapid response to failures while minimizing impact on existing services, as quarantine resources are activated only when needed.
Solution Approach 2:
The patent segments network resources into operational resources for current services and quarantine resources for containment, allowing both to coexist without conflict. This resource segmentation enables the network to maintain service quality while having dedicated resources ready for rapid deployment during outages.
Data Source
AI summary
A system is disclosed for quarantining and recovery of a network after an outage or in advance of a potential outage. Unaffected network slices are isolated and recovery is initiated by quarantine physical and virtual network functions. An AI model is trained based on recent events detected by sensors disposed throughout the network to determine whether to quarantine network slices, move services to unaffected network slices, or initiate recovery. Once the network is stabilized, resources that are specifically allocated for recovery and services are released and the traffic moved back to the recovered network slices.