UL Link Adaptation Using Dynamic SINR for RB Power Limits
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Solution Overview
Problem
Current UL link adaptation algorithms in 5G and 4G prioritize spectral efficiency without considering uplink resource block (RB) power limitations, leading to suboptimal RB allocation and inaccurate SINR estimation.
Innovation Solution
A new UL link adaptation algorithm that dynamically adjusts the target SINR based on the UE's available power and RB allocation needs, tracking average RB requirements and power levels to optimize RB allocation and SINR estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current UL link adaptation algorithms prioritize spectral efficiency, then modulation and coding scheme selection is optimized, but RB allocation becomes suboptimal and SINR estimation becomes inaccurate due to ignoring power limitations
Solution Approach 1:
The patent dynamically changes the target SINR parameter based on the UE's available power level and average power level. When available power is lower than average power, the target SINR is decreased; when available power is higher, the target SINR is increased. This parameter adjustment resolves the contradiction by adapting the SINR target to reflect actual power constraints, improving both RB allocation accuracy and SINR estimation while maintaining spectral efficiency.
2Productivity
If target SINR is kept high to maximize throughput, then spectral efficiency improves, but RB allocation becomes suboptimal when power limitations exist
Solution Approach 1:
The patent introduces dynamic adjustment of the target SINR based on real-time comparison between available power level and average power level. The system transitions from a static high target SINR approach to a dynamic approach that adapts to power conditions. This resolves the contradiction by making the SINR target flexible and adaptive, allowing optimal RB allocation while maintaining high throughput when power permits.
3Device complexity
If power limitations are ignored in link adaptation, then algorithm complexity remains low, but RB allocation and SINR estimation become inaccurate
Solution Approach 1:
The patent implements a feedback mechanism where the base station continuously monitors the UE's available power level and average power level, compares them, and adjusts the target SINR accordingly. This feedback loop resolves the contradiction by incorporating power information into the link adaptation process, improving RB allocation accuracy and SINR estimation without significantly increasing algorithm complexity through structured comparison and adjustment steps.
Data Source
AI summary
The current UL link adaptation algorithm in 5G and 4G was designed for maximization of the UE's spectral efficiency. Such algorithm that requires the UE for maximization of spectral efficiency keeps the MCS high toward a certain target SINR, however without consideration of the UL RB power limitation and utilization. Such implementation causes us to limit the UE's RB allocation, trying to reach the target SINR. Increasing the UL RB utilization is twofold, on the one hand, increase throughput as stated in Shannon's capacity formula, and on the other, increase of our SINR estimation accuracy. Motivated by those reasons, we design a new algorithm which tries to keep the UE to with enough available power to support the user required average RB allocation.