Link Quality Prediction for HARQ Resource Allocation
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Solution Overview
Problem
In Hybrid Automatic Retransmission Request (HARQ) scheduling, existing technologies face challenges in maintaining optimal soft decision metric scaling between original and retransmitted data blocks, especially under varying interference conditions, which affects decoding performance in communication systems.
Innovation Solution
A scheduling device and method that predict link quality for resource allocation, ensuring that both initial transmissions and retransmissions are scheduled on resources with similar expected link quality, reducing the risk of imperfect scaling by prioritizing resources with comparable signal conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If different processing steps are activated for substantially different interference conditions between transmissions, then interference mitigation is improved, but soft decision metric scaling consistency deteriorates
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting processing steps based on interference conditions. The system monitors interference levels and activates different processing algorithms (e.g., interference rejection combining vs. standard decoding) depending on the current channel conditions, thereby optimizing both interference mitigation and metric scaling consistency through adaptive parameter selection.
Solution Approach 2:
The system implements dynamics by making the processing steps flexible and adaptive rather than fixed. The receiver dynamically selects and switches between different processing algorithms based on real-time interference measurements, allowing the system to maintain optimal performance across varying interference conditions while preserving scaling consistency through coordinated processing adjustments.
2Reliability
If additional processing steps are activated to mitigate extra interference, then decoding reliability is improved, but device complexity increases
Solution Approach 1:
The patent applies partial action by implementing additional processing steps only when necessary. Instead of always using the most complex processing algorithm, the system uses simpler processing when interference is low and activates enhanced processing (such as interference rejection combining) only when interference exceeds thresholds, thereby maintaining decoding reliability while minimizing overall device complexity.
Solution Approach 2:
The system implements feedback mechanisms where the receiver monitors decoding success and interference levels, then feeds this information back to adjust processing selections. This feedback loop ensures that additional processing steps are activated only when needed to improve decoding reliability, avoiding unnecessary complexity during normal operating conditions.
3Productivity
If retransmissions are scheduled under varying link quality conditions, then resource utilization is improved, but soft metric scaling consistency deteriorates
Solution Approach 1:
The patent applies preliminary action by evaluating link quality conditions before scheduling retransmissions. The system predicts future link quality based on current channel conditions and proactively schedules retransmissions in time slots with similar expected link quality, thereby maintaining soft metric scaling consistency while still optimizing resource utilization through intelligent scheduling decisions.
Solution Approach 2:
The system implements equipotentiality by ensuring that retransmissions occur under comparable link quality conditions to the original transmission. By scheduling retransmissions in time slots with similar interference characteristics and channel conditions, the system creates equipotential conditions for both transmissions, maintaining consistent scaling references while still achieving high resource utilization through efficient HARQ process management.
Data Source
AI summary
A scheduling device for scheduling an allocation of a set of link resources includes: a prediction circuit configured to generate a predicted link quality for a first link resource of the set of link resources; a classification circuit configured to classify the first link resource to a classification pattern based on the predicted link quality of the first link resource; and an allocation circuit configured to allocate the first link resource to a first transmission or retransmission subframe set based on the classification pattern.