Uplink Throughput Estimation Excluding SR Lead Time
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Solution Overview
Problem
Existing wireless communication systems, particularly in 5G NR, face challenges in accurately estimating network throughput, especially in scenarios with small burst windows or low burst durations, leading to potential underestimation or overestimation of throughput.
Innovation Solution
A method implemented in user equipment (UE) to determine the scheduling request (SR) lead time within an uplink burst period, calculate the burst duration, and estimate the uplink throughput based on the determined burst duration, while also optimizing configurable variables to improve throughput estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing throughput estimation methods are used in 5G NR systems, then the estimation process is simple, but the accuracy of throughput estimation deteriorates in scenarios with small burst windows or low burst durations
Solution Approach 1:
The patent segments the uplink burst period into distinct components: scheduling request (SR) lead time and actual burst transmission time. By separating these elements, the method calculates throughput based only on the actual transmission duration, excluding the SR lead time from the denominator in throughput calculations. This segmentation resolves the contradiction by enabling accurate measurement in small burst scenarios without requiring complex alternative estimation algorithms.
Solution Approach 2:
The patent performs preliminary identification and measurement of the SR lead time before calculating throughput. By pre-determining the SR lead time component and subtracting it from the total burst period, the method prepares accurate measurement data in advance. This preliminary action allows simple subsequent throughput calculations to achieve high accuracy even in small burst window scenarios, avoiding the need for complex real-time estimation methods.
2Ease of manufacture
If the SR lead time is included in the burst period for throughput calculation, then the calculation is straightforward, but the throughput estimation becomes inaccurate due to exclusion of non-productive time
Solution Approach 1:
The patent extracts the SR lead time component from the total uplink burst period and excludes it from throughput calculations. By taking out this non-productive time element, the method maintains simple calculation procedures while achieving accurate throughput estimation. The extraction principle resolves the contradiction by removing only the problematic SR lead time portion, leaving the rest of the calculation process simple and straightforward.
Solution Approach 2:
The patent dynamically adjusts the effective burst duration by subtracting the SR lead time from the total burst period. This dynamic adjustment ensures that throughput calculations reflect only the actual productive transmission time. The dynamic approach maintains calculation simplicity while improving accuracy, as it requires only a simple subtraction operation rather than complex adaptive algorithms.
3Reliability
If traditional throughput estimation methods are used without considering burst duration, then the system operates with fewer parameters, but the reliability of communication deteriorates in diverse traffic conditions
Solution Approach 1:
The patent performs preliminary measurement and identification of burst duration parameters before throughput estimation. By pre-determining the effective burst duration (total burst period minus SR lead time), the method prepares reliable input data for throughput calculations. This preliminary action enhances communication reliability across diverse traffic conditions while maintaining manageable parameter complexity, as it requires only basic time duration measurements.
Solution Approach 2:
The patent changes the effective time parameter used in throughput calculations from the total burst period to the adjusted burst duration (excluding SR lead time). This parameter change improves reliability by ensuring that throughput metrics reflect actual productive transmission time. The parameter modification maintains simplicity by involving only a straightforward time duration adjustment rather than complex multi-parameter analysis.
Data Source
AI summary
A UE may be configured with an enhanced network throughput for data transmission with a small burst or a low burst. In one aspect, for the network throughput estimation for an UL transmission with a small burst, the UE may calculate the burst duration by excluding the SR lead time from the burst period. In another aspect, for the network throughput estimation for a window with the low burst duration, the UE may calculate a scaling factor between the channel bit rate and the estimated network throughput of a time window with a sufficient burst duration and estimate the network throughput of the low burst duration based on the estimated channel bit rate and the scaling factor. In another aspect, to improve the overall process of the network throughput estimation, the UE may dynamically adjust the associated parameters by comparing the estimated network throughput with a base throughput.