Adaptive Error Rate Determination in Radio Nodes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for determining error rates in wireless communication systems, such as MCH BLER, are unreliable when based on inspecting the same number of data units for errors, leading to sub-optimal results and potential degradation in system performance and user experience, especially when error rates vary between small and large values.
Innovation Solution
Adapting the number of data units inspected for errors across different error rate determinations, ensuring that each determination is made based on a minimum number that dynamically varies, with higher error rates requiring fewer units and lower error rates requiring more units for accurate assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the same number of data units is inspected for all error rate determinations, then the measurement process is simple and consistent, but the reliability of error rate determinations deteriorates when error rates vary between small and large values
Solution Approach 1:
The patent applies dynamics by making the number of inspected data units variable rather than fixed. The measurement process adapts the inspection count based on the observed error rate: when error rates are low, more data units are inspected to ensure statistical reliability, while when error rates are high, fewer units are needed. This dynamic adjustment resolves the contradiction by improving reliability across varying error conditions without requiring a permanently complex system.
Solution Approach 2:
The patent changes the parameter of inspection count based on the error rate conditions. By monitoring the error rate and adjusting the number of inspected data units accordingly, the system optimizes measurement reliability. When error rates fall below a threshold, the inspection count increases to gather sufficient statistical evidence; when error rates exceed the threshold, the inspection count decreases, preventing unnecessary complexity.
2Measurement precision
If more data units are inspected to ensure accurate error rate determination, then measurement accuracy improves, but the measurement time and resource consumption increase
Solution Approach 1:
The system dynamically adjusts the inspection duration and number of data units based on observed error rates. When error rates are low, the system extends the measurement period and inspects more units to achieve high precision. When error rates are high, the system shortens the measurement period, accepting that fewer units need to be inspected to detect the elevated error rate with sufficient confidence, thus reducing time loss.
Solution Approach 2:
The patent applies partial action by inspecting only the necessary number of data units required to achieve adequate measurement precision. Instead of always inspecting a fixed large number of units, the system inspects just enough units to reliably determine the error rate, avoiding excessive measurement time and resource consumption while maintaining sufficient accuracy.
3Reliability
If a fixed number of data units is used for error rate measurement, then the measurement process is straightforward and resource consumption is predictable, but the accuracy deteriorates when error rates vary significantly
Solution Approach 1:
The patent implements dynamics by automatically adjusting the number of inspected data units based on the measured error rate. This dynamic approach maintains measurement accuracy across varying error conditions without requiring manual intervention or complex configuration. The system adapts its operation automatically, preserving ease of use while improving reliability.
Solution Approach 2:
The error rate measurement system serves itself by automatically determining the appropriate number of data units to inspect based on the observed error rate. The system monitors its own performance and adjusts its measurement parameters accordingly, eliminating the need for external configuration or manual adjustment, thus maintaining simplicity while achieving high accuracy.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method is implemented by a first radio node (30) for determining a rate at which units of data are received erroneously from one or more second radio nodes. The method comprises inspecting (110) data units received from the one or more second radio nodes for errors. The method also includes making (120) successive determinations of the rate at which data units are received erroneously from the one or more second radio nodes. Each determination must be made based on inspecting at least a minimum number of received data units for errors. The method further entails adapting (130) the minimum number of data units that must be inspected across determinations of different rates, such that determinations of different rates must be respectively made based on inspecting different minimum numbers of received data units for errors.