Event-Triggered RRM Requests for Wireless AP Topology Changes
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Solution Overview
Problem
Existing radio resource management (RRM) systems in wireless networks rely on periodic scheduling, which can lead to system disruptions and subpar performance during unforeseen events such as power failures, system restarts, or radar events, as they fail to promptly adjust to significant changes in radio frequency topology.
Innovation Solution
Implementing an unscheduled RRM operation triggered by dynamic events such as power failures, system restarts, radar events, and automated frequency coordination updates, allowing the network to automatically request RRM compute requests when a threshold of affected radios is reached, ensuring timely reconfiguration and optimal performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If periodic RRM scheduling is used, then system complexity is reduced and ease of operation is improved, but reliability deteriorates during unforeseen events such as power failures or system restarts
Solution Approach 1:
The system pre-configures event monitoring capabilities and predefined RRM trigger conditions before unforeseen events occur. When events like power failures, system restarts, or radar events are detected, the pre-established monitoring mechanisms immediately activate to trigger unscheduled RRM operations, eliminating the need for complex real-time decision-making while maintaining high reliability
Solution Approach 2:
The system implements continuous feedback loops that monitor system state and external events. When deviations from normal operation are detected (such as power failures or performance degradation), the feedback mechanism automatically triggers unscheduled RRM operations to restore optimal performance, thereby maintaining reliability without requiring complex manual intervention
2Device complexity
If periodic RRM scheduling is used, then device complexity is reduced, but adaptability to significant changes in radio frequency topology deteriorates
Solution Approach 1:
The system transitions from static periodic scheduling to dynamic event-driven scheduling. RRM operations are triggered adaptively based on actual system conditions and external events, allowing the system to respond flexibly to topology changes while maintaining simple device architecture through rule-based trigger mechanisms
Solution Approach 2:
The system monitors changes in radio frequency topology parameters and triggers RRM operations when significant changes are detected. This allows the system to adapt to environmental changes such as new AP deployments, channel conditions, or interference patterns without requiring complex real-time analysis, maintaining low device complexity while achieving high adaptability
3Loss of time
If manual RRM triggering is required after power failures or system restarts, then service interruption time is reduced, but productivity deteriorates due to manual intervention requirements
Solution Approach 1:
The system implements self-service capabilities where RRM operations are automatically triggered and executed in response to power failures, system restarts, or performance degradation events. This eliminates the need for manual intervention, allowing the system to restore service automatically and maintain high productivity without requiring human operators to manually trigger RRM operations
Data Source
AI summary
In one aspect, a method includes monitoring telemetry and wireless frequency restrictions for a portion of access points in a network, wherein configurations for the portion of the access points in the network are managed by the network controller, identifying a qualifying event, wherein the qualifying event is sufficient to trigger an unscheduled RRM operation on a portion of the access points in a network, and triggering an RRM request after the identification of the qualifying event.