Adaptive Scheduler for RF Resource Preemption
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Solution Overview
Problem
Current resource management in RF systems follows a first-come, first-served approach, leading to suboptimal resource allocation as it cannot control the order of requests, favoring users who request resources in advance, resulting in inefficient distribution.
Innovation Solution
A resource allocation system that tracks real-time metrics to establish dynamic preemption thresholds, allowing later requests to preempt earlier ones based on factors like usage time and request frequency, ensuring a globally balanced allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a first-come, first-served approach is used for resource allocation, then the system is simple to operate and requests are served immediately, but resource distribution becomes unbalanced and favors users who request in advance
Solution Approach 1:
The patent implements dynamic preemption thresholds that adjust based on real-time system state and user characteristics. The resource manager continuously monitors usage patterns and modifies allocation decisions accordingly, transitioning from static first-come first-served to adaptive dynamic allocation that maintains simplicity while improving fairness
Solution Approach 2:
The system incorporates feedback loops where the resource manager monitors resource usage patterns, user characteristics, and allocation outcomes. This feedback informs dynamic adjustments to preemption thresholds, enabling the system to learn from past allocations and improve equity while maintaining operational simplicity
2Speed
If resources are allocated immediately upon request, then time-critical RF operations are satisfied, but globally optimized resource allocation cannot be achieved
Solution Approach 1:
The patent performs preliminary analysis of user characteristics and usage patterns before making allocation decisions. By pre-characterizing users and their typical behaviors, the system can make faster, more informed decisions that balance immediate response needs with overall system efficiency
Solution Approach 2:
The system dynamically adjusts allocation strategies based on real-time conditions while maintaining fast response. The adaptive preemption thresholds allow the system to prioritize time-critical operations when needed while optimizing for overall efficiency under different system states
3Device complexity
If the resource manager favors users who request in advance, then allocation decisions are simple to make, but equitable distribution among all users is compromised
Solution Approach 1:
The patent changes the parameters used for allocation decisions from simple request timing to composite metrics including user characteristics, usage patterns, and dynamic preemption thresholds. This allows the system to maintain relatively simple decision logic while achieving fairer outcomes through enriched parameter analysis
Data Source
AI summary
A resource allocation system receives user requests for system resources over time. The system records factors such as number of resource requests, total usage time, etc., and preempts earlier requests in favor of later requests based on those factors. The resource allocation system tracks metrics in real-time and establishes dynamic preemption thresholds based on usage over time. Preemption thresholds may be specific to individual users.