Adaptive Link Adaptation Margin for Radio Transport Format Selection
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Solution Overview
Problem
The existing link adaption process in NR NodeB (gNB) struggles to accurately predict the Signal to Interference Noise Ratio (SINR) for radio transmissions due to outdated Channel State Information (CSI) reports and variations in channel conditions, leading to inefficient selection of transport formats.
Innovation Solution
A method is introduced where a network node determines a Link Adaptation Margin (LAM) based on the value of the SINR estimate for a radio transmission, allowing for a more efficient selection of transport formats by applying different margins depending on the SINR estimate, thereby increasing scheduling flexibility, spectral efficiency, and reducing interference and latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a fixed margin is applied to SINR estimate for transport format selection, then the selection process is simple, but spectral efficiency is reduced and scheduling flexibility is limited
Solution Approach 1:
The patent applies dynamics by making the margin value adjustable and adaptive rather than fixed. The margin is dynamically selected from multiple possible values based on the estimated SINR, allowing the system to optimize spectral efficiency while maintaining reliability. This resolves the contradiction by enabling complex adaptive behavior without requiring complete redesign of the selection process.
Solution Approach 2:
The patent changes the parameter of margin value from a single fixed value to multiple selectable values that vary based on SINR estimates. By introducing parameter variability and selecting appropriate margin values according to channel conditions, the system improves spectral efficiency while maintaining the basic framework of margin-based selection.
2Ease of operation
If a fixed margin is applied to SINR estimate, then the selection process is straightforward, but scheduling flexibility is reduced
Solution Approach 1:
The system dynamically adapts the margin value based on real-time SINR estimates, enabling flexible scheduling decisions. The network node can adjust the margin from a set of possible values to optimize performance under different channel conditions, maintaining operational simplicity while enhancing adaptability.
Solution Approach 2:
The patent segments the margin selection into discrete possible values that can be chosen based on SINR ranges. This segmentation allows the system to maintain a manageable selection process while providing multiple adaptation options, resolving the contradiction between straightforward operation and scheduling flexibility.
3Device complexity
If a single margin value is used for all SINR estimates, then the implementation is simple, but reliability is compromised due to inaccurate SINR prediction
Solution Approach 1:
The patent introduces parameter changes by using multiple margin values selected based on SINR estimates rather than a single fixed margin. This allows the system to compensate for SINR prediction inaccuracies by adapting the margin to current channel conditions, improving reliability without excessive complexity.
Solution Approach 2:
The system dynamically selects margin values based on real-time SINR estimates, enabling adaptive compensation for prediction errors. This dynamic approach improves transmission reliability by adjusting the margin according to actual channel conditions while maintaining reasonable implementation complexity through a finite set of margin values.
4Reliability
If margin is increased to compensate for SINR estimation error, then transmission reliability improves, but spectral efficiency decreases
Solution Approach 1:
The patent resolves this contradiction by changing the margin parameter from a single high value to multiple values that vary with SINR estimates. When SINR is high, a smaller margin is applied, preserving spectral efficiency. When SINR is low or uncertain, a larger margin is applied, ensuring reliability. This adaptive parameter adjustment optimizes the trade-off between reliability and spectral efficiency.
Data Source
AI summary
There is provided a method, performed by a network node, for selecting a transport format for a radio transmission. The method comprises obtaining an estimate of expected Signal Interference to Noise Ratio, SINR, for a radio transmission. The method further comprises determining a margin in dependence on a value of the estimate of SINR. The method further comprises selecting a transport format for the radio transmission based on the estimate of SINR for the radio transmission and the determined margin. There is further provided a network node. There is also provided a method, performed by a user equipment, for assisting the selection of a transport format for a radio transmission. There is further provided a user equipment.