Adaptive Scheduling Request Detection Threshold Adjustment
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Solution Overview
Problem
In network communication systems like LTE, the detection of scheduling requests (SRs) is often unreliable, leading to unnecessary grants being transmitted to UEs with empty uplink data buffers, resulting in wasted resources and increased retransmissions due to incorrectly interpreted signals.
Innovation Solution
A method that adapts threshold values for detecting SRs by obtaining information about the responding action to a grant, such as the presence of uplink data or a zero-size buffer report, to accurately determine if a detected signal corresponds to a SR, thereby reducing incorrect interpretations and optimizing resource use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed threshold values are used for detecting scheduling requests, then the detection process is simple, but the reliability of SR detection deteriorates leading to incorrect interpretations
Solution Approach 1:
The patent applies dynamics by transforming fixed threshold values into adaptive threshold values that automatically adjust based on observed UE behavior. The network node monitors UE responses to grants and dynamically modifies detection thresholds to match the specific UE's transmission patterns, thereby improving detection reliability without requiring complex manual configuration.
Solution Approach 2:
The patent implements feedback by using UE responses to grants as input for adjusting future detection thresholds. The network node observes whether UEs actually transmit data after receiving grants and feeds this information back into the detection mechanism, creating a closed-loop system that continuously improves SR detection accuracy based on real-world performance data.
2Measurement precision
If sensitive detection of SRs is performed to ensure reliable resource allocation, then the detection accuracy improves, but the number of false detections increases leading to wasted resources
Solution Approach 1:
The patent applies local quality by customizing detection thresholds for each individual UE based on its specific behavior patterns rather than using uniform thresholds for all UEs. Each UE receives personalized threshold settings that reflect its unique transmission characteristics, allowing the system to maintain high detection accuracy for each UE while minimizing false detections overall.
Solution Approach 2:
The patent implements parameter changes by adjusting detection threshold values based on observed UE response patterns to grants. The system modifies these parameters dynamically, changing thresholds from fixed to adaptive values that reflect actual UE behavior, thereby optimizing the balance between detection sensitivity and false alarm reduction.
3Reliability
If adaptive threshold adjustment is implemented based on UE responses, then the SR detection reliability improves, but the system complexity increases
Solution Approach 1:
The patent applies self-service by enabling the detection system to automatically adjust its own parameters without external intervention. The network node autonomously monitors UE responses, analyzes patterns, and modifies detection thresholds independently, eliminating the need for manual configuration or complex external control mechanisms while improving detection reliability.
Solution Approach 2:
The patent implements preliminary action by having the system continuously observe and learn from UE behavior during normal operation before making adjustments. The network node collects data on UE responses to grants over time, preparing adaptive threshold values based on accumulated experience, which are then applied to improve future detection accuracy.
Data Source
AI summary
There is provided a method and a corresponding arrangement for enabling adaptive detection of Scheduling Requests (SRs). Information about the response to a transmitted grant is used to adjust threshold values relevant for the detection of SRs. By providing an adaptive mechanism for detection of SRs it is possible to reduce the number of grants being scheduled due to a detected signal wrongly interpreted as a SR.