Cross-Layer Uplink Detection Threshold Tuning for PHY-MAC Feedback
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Solution Overview
Problem
The static detection thresholds in fifth-generation wireless communication systems for uplink signals result in sub-optimal detection, leading to increased false detection/misdetection of PRACH and SR, which causes computational load and wastage of resources, reducing downlink and uplink throughput performance.
Innovation Solution
A method and system that dynamically adjusts uplink detection thresholds using a self-learning mechanism or random selection within a narrow window, based on feedback from the medium access control layer, to optimize detection performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static detection thresholds are used for uplink signal detection, then the system is simple to implement, but false detection and misdetection rates increase
Solution Approach 1:
The patent implements dynamic detection thresholds that adapt to changing channel conditions and traffic patterns. The threshold is continuously adjusted based on feedback from false detection rates and channel state information, transforming the static threshold into a dynamic parameter that responds to environmental changes, thereby improving detection accuracy without excessive complexity
Solution Approach 2:
The system employs feedback mechanisms where detection outcomes are monitored and used to adjust future detection thresholds. The base station tracks false detection rates and uses this information to refine threshold settings, creating a closed-loop control system that continuously improves detection reliability while maintaining manageable complexity
2Object-generated harmful factors
If detection threshold is lowered to reduce false alarms, then false detection rate decreases, but missed detection rate increases
Solution Approach 1:
The patent changes the detection threshold parameter dynamically based on channel conditions and traffic patterns. Instead of using a fixed threshold, the system adjusts the threshold value according to measured channel quality indicators and historical detection performance, optimizing the balance between false alarms and missed detections for different operating conditions
Solution Approach 2:
The detection threshold transitions from a static value to a dynamic parameter that adapts to varying channel conditions. The system monitors channel state information and adjusts thresholds in real-time, allowing the threshold to be lower in good conditions (reducing false alarms) and higher in poor conditions (preventing missed detections)
3Productivity
If detection threshold is raised to reduce computational load, then processing complexity decreases, but detection accuracy worsens
Solution Approach 1:
The patent segments the detection process into multiple stages with different threshold levels. Initial coarse detection uses a higher threshold to filter obvious signals quickly, followed by refined detection with lower thresholds for candidate signals. This segmentation allows the system to maintain high detection accuracy while reducing overall computational load by avoiding exhaustive processing of all potential signals
Data Source
AI summary
A method of detecting an uplink signal in a communication network is provided. The method includes setting a current detection threshold in an allowable range of uplink detection thresholds for detection of a plurality of uplink signals for a predetermined time period, identifying a plurality of candidate detection thresholds in a predetermined window centered around the current detection threshold at a first layer for detection of the plurality of uplink signals, identifying an optimal detection threshold among the plurality of candidate detection threshold based on identifying whether the plurality of uplink signals are detected correctly at a second layer, and applying the optimal detection threshold at the first layer as the current detection threshold for the detection of the plurality of uplink signals, wherein the first layer comprises a physical (PHY) layer, and wherein the second layer comprises a medium access control (MAC) layer.