Power Headroom Reporting With Dynamic Parameter Ranges
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Solution Overview
Problem
Existing power headroom calculations in wireless communication systems, such as those used in 5G NR, do not accurately reflect the power capabilities of user equipment (UE) due to diverse data traffic characteristics and simultaneous operations, leading to inefficient power management and resource allocation.
Innovation Solution
Configuring UEs with ranges of values for parameters associated with power headroom calculations, allowing them to select and compute power headroom using artificial intelligence/machine learning models, and reporting these calculations to network nodes for more accurate power management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional power headroom calculation methods are used, then the calculation process is simple, but the accuracy of power capability reflection is insufficient
Solution Approach 1:
The patent changes the parameters used in power headroom calculation from fixed traditional parameters to dynamic parameters selected from multiple ranges. The UE selects parameters based on actual operating conditions, transforming the calculation from a static formula into a dynamic adaptive process that reflects real power capabilities more accurately.
Solution Approach 2:
The patent introduces dynamic selection of parameter ranges based on UE's actual operating state. Instead of using fixed parameters, the system dynamically adjusts which parameter ranges are used for calculation, making the power headroom report adapt to changing traffic characteristics and simultaneous operations.
2Adaptability or versatility
If fixed parameter values are used in power headroom calculation, then the calculation is straightforward, but it cannot reflect diverse data traffic characteristics
Solution Approach 1:
The patent segments the parameter space into multiple ranges, each representing different operating conditions or traffic characteristics. Instead of using a single fixed parameter value, the system divides parameters into ranges and selects appropriate ranges based on current traffic conditions, enabling adaptation to diverse data traffic characteristics.
Solution Approach 2:
The patent provides the network with more information than traditional methods by reporting power headroom based on selected parameter ranges. This excessive information provision allows the network to better understand UE power capabilities under different conditions, improving resource allocation even though it requires more complex processing.
3Measurement precision
If AI/ML models are used for parameter selection, then power usage accuracy is improved, but computational overhead increases
Solution Approach 1:
The patent introduces AI/ML models as intermediaries between the UE's operating conditions and the parameter selection for power headroom calculation. These models process the complex relationship between traffic characteristics and power consumption, selecting optimal parameter ranges without requiring the network to perform complex analysis, thus improving accuracy while managing computational overhead.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive configuration information that indicates one or more ranges of values for one or more respective parameters associated with a power headroom calculation. The UE may select a value of at least one parameter that is within the one or more ranges of values for the one or more respective parameters associated with the power headroom calculation. The UE may compute the power headroom calculation using the value of the at least one parameter. The UE may transmit a power headroom report that indicates the power headroom calculation. Numerous other aspects are described.