LTE Uplink Throughput Estimation via Observed Bit Rate
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Solution Overview
Problem
Current LTE technology faces challenges in accurately estimating uplink throughput, which is crucial for optimizing data transmission and resource allocation in wireless communication systems, leading to inefficiencies and potential delays in data transmission.
Innovation Solution
A method for estimating uplink throughput is introduced, which calculates the observed bit rate based on past scheduled uplink transmission grants and incorporates a long-term factor related to link capacity and an estimate factor, allowing user equipment to predict future uplink throughput and adjust transmission accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If LTE uplink throughput estimation is performed using conventional methods, then basic data transmission can be maintained, but accuracy of throughput estimation is insufficient leading to transmission inefficiencies and delays
Solution Approach 1:
The patent performs preliminary actions by calculating the observed bit rate based on past scheduled uplink transmission grants before estimating future throughput. This advance calculation of historical transmission data enables more accurate predictions of upcoming throughput, allowing the system to prepare and adjust transmission parameters proactively, thereby reducing transmission delays while improving estimation accuracy.
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring past uplink transmission grants and using this historical data to refine throughput estimates. The system feeds back the observed bit rate information into the estimation process, creating a closed-loop system that progressively improves accuracy. This feedback-driven approach allows the system to adapt to changing channel conditions and optimize transmission timing, reducing delays while enhancing measurement precision.
2Measurement precision
If detailed analysis of past transmission grants is performed to improve throughput estimation, then estimation accuracy improves, but computational complexity increases
Solution Approach 1:
The patent extracts only the essential elements needed for throughput estimation from the complete transmission grant data. By focusing on calculating the observed bit rate from past scheduled uplink transmission grants and identifying key patterns, the system removes unnecessary computational overhead. This extraction approach maintains high estimation accuracy by concentrating on the most relevant historical data while reducing overall calculation complexity.
Solution Approach 2:
The patent changes parameters by transforming detailed transmission grant information into a simplified observed bit rate metric. This parameter transformation condenses complex historical data into a manageable form that captures the essential throughput characteristics. By changing the representation of transmission data from detailed grant information to aggregated bit rate statistics, the system achieves accurate estimation with reduced computational burden.
Data Source
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AI summary
A method, an apparatus, and a computer program product for wireless communication are provided. The apparatus determines an observed bit rate based on uplink transmissions of the UE, estimates an available link capacity for the UE, selects an estimate factor, and estimates available uplink throughput for future uplink transmissions of the UE as a function of the observed bit rate, the estimated available link capacity, and the estimate factor.