Cellular Traffic Orchestration for Proactive Node Outage Prevention
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Solution Overview
Problem
Modern cellular networks experience disruptions due to node degradation, leading to reactive network resilience measures that result in user performance degradation and outages, as the network resource function (NRF) only identifies unavailable nodes after they fail, failing to proactively manage traffic.
Innovation Solution
A traffic orchestrator that receives network management and call logs, along with KPIs and network topology, to identify degraded nodes and generate advisories for rerouting traffic, reducing losses by proactively managing traffic flow and enabling node recovery before outages occur.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the NRF marks network nodes as unavailable only after detecting outages or loss of heartbeat signals, then the network can identify failed nodes, but user performance degrades and outages occur before the failover can take effect
Solution Approach 1:
The system performs preliminary actions by analyzing network management logs, call logs, traffic patterns, and KPIs to identify degraded nodes before they completely fail. Traffic advisories are generated and distributed in advance to reroute traffic away from nodes showing signs of degradation, preventing outages before they impact users.
Solution Approach 2:
The system implements continuous feedback loops by monitoring network node performance through logs and KPIs, generating traffic advisories when degradation is detected, and adjusting traffic routing dynamically. This closed-loop feedback enables proactive response to node degradation rather than reactive response to complete failures.
2Ease of manufacture
If the network uses reactive resilience measures with failover routes, then network nodes can be restored after failure, but user experience is already degraded during the outage period
Solution Approach 1:
Instead of waiting for complete node failure before activating failover routes, the system proactively identifies degraded nodes through log analysis and KPI monitoring, and preemptively reroutes traffic before the degradation progresses to complete outage, thereby maintaining user experience quality while preserving the simplicity of reactive resilience mechanisms.
3Speed
If the NRF rapidly identifies and marks unavailable nodes to minimize traffic steering to them, then the number of affected network nodes is reduced, but the process remains reactive and cannot prevent initial performance degradation
Solution Approach 1:
The system performs preliminary identification of degraded nodes by analyzing logs and KPIs before complete failure occurs, enabling traffic rerouting to happen in advance rather than waiting for rapid detection after failure. This maintains service continuity while providing sufficient detection speed through continuous monitoring.
Solution Approach 2:
The system implements continuous monitoring of network node health through log analysis and KPI tracking, ensuring uninterrupted detection capability. This continuous useful action enables the system to identify degraded nodes at any point in their degradation trajectory, maintaining both detection speed and service reliability.
Data Source
AI summary
A traffic orchestrator reduced cellular network outages via improved traffic management. The orchestrator receives network management logs and call logs from network nodes and uses them, along with key performance indicators (KPIs) for network nodes, traffic patterns, and network topology, to identify nodes that are operating in a degraded manner, or are not fit for traffic. The orchestrator generates and distributes traffic advisories to various network nodes. This rebalances traffic to reduce losses to traffic throughput, such as by rerouting traffic around degraded nodes and nodes that are not fit for traffic. This proactive approach occurs prior to a network node being reported as unavailable to a network repository (e.g., a 5G NRF), and not only enables some of the degraded nodes an opportunity to recover prior to an outage (reducing outages), but also reroutes traffic prior to impending outages, reducing the effect on users when outages