Adaptive Radio Parameter Reporting for UE Power and Load Control
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Solution Overview
Problem
Existing 5G NR networks face challenges in managing varying load demands from mobile devices with different quality-of-service classes, such as URLLC, eMBB, and mMTC, particularly in optimizing power consumption and resource allocation for mobile user equipment.
Innovation Solution
User equipment determines parameter values and categorizes them using quantization categories based on predefined criteria, adjusting reporting operations based on category counts and criteria to optimize data transmission, including halting or delaying reports when certain conditions are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If user equipment continuously reports parameter values to the network, then the network obtains comprehensive data for optimization, but power consumption increases and network resources are wasted
Solution Approach 1:
The patent implements dynamic reporting by allowing user equipment to adjust reporting behavior based on quantization category counts. When the count of parameter values in a quantization category reaches a threshold, reporting is halted temporarily, creating a dynamic adaptation between data completeness and power consumption based on current network conditions and parameter stability.
Solution Approach 2:
The patent changes the parameter of reporting frequency based on quantization category analysis. By monitoring how many parameter values fall into each quantization category and comparing against thresholds, the system adjusts reporting behavior - reducing frequency when parameters are stable (high count in current category) and increasing when parameters change significantly.
2Loss of information
If user equipment reports all parameter values, then the network has complete information for AI model training, but network resources and bandwidth are consumed
Solution Approach 1:
The patent applies partial action by reporting only a subset of parameter values - specifically, those that fall below a configured threshold count for their quantization category. This selective reporting provides the network with sufficient information for AI model training while avoiding transmission of redundant data points that would consume unnecessary network resources.
Solution Approach 2:
The patent segments the parameter space into quantization categories and applies different reporting strategies to each segment. By dividing parameters into discrete categories and monitoring the count within each category, the system can make granular decisions about what to report, optimizing the balance between information completeness and resource consumption.
3Measurement precision
If the network collects data from all user equipment for AI model updates, then model accuracy improves, but device complexity and processing overhead increase
Solution Approach 1:
The patent performs preliminary processing at the user equipment by quantizing parameters into categories and counting occurrences before transmission. This preliminary action reduces the complexity of data processing by pre-organizing data into meaningful segments, allowing the network to receive already-processed information that requires less computational overhead while maintaining model training effectiveness.
Data Source
AI summary
A user equipment receives from a radio network node parameter reporting configuration information indicative of radio parameters and radio parameter quantization categories. During a configured quantization validity period the user equipment categorizes measured radio parameter values corresponding to configured radio parameters into quantization categories corresponding to the parameters according to parameter value ranges respectively associated with the categories with respect to which ranges the measured values fall into, or match. If, during the validity period, a number, or count, of parameter values that have been categorized into a particular category and reported to the node exceeds a reporting criterion, the user equipment may modify a parameter value reporting periodicity or avoid reporting measured parameter values corresponding to the particular category during the remainder of the validity period, after the expiration of which the user equipment may reset the count for the particular category.