DL Throughput Estimation via Terminal-Aware Coefficient Derivation
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Solution Overview
Problem
Conventional techniques for estimating Down Link (DL) throughput in wireless networks do not accurately account for terminal characteristics, leading to insufficient accuracy in DL throughput estimation, especially in crowd-sourced quality information collection and varying data transmission speeds due to different frequency bundling and modulation schemes.
Innovation Solution
A quality estimation system that acquires terminal and network information from user terminals, derives coefficients for an estimation equation using wireless reception quality and network quality information, and applies these coefficients to estimate DL throughput, considering terminal characteristics and transmission schemes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional techniques use wireless reception quality parameters (RSRP, RSRQ, SINR) collected by instruments as input values, then the estimation method is simple, but the measurement precision of DL throughput is insufficient
Solution Approach 1:
The patent changes the input parameters from conventional wireless reception quality parameters (RSRP, RSRQ, SINR) to a comprehensive set including terminal information (model, transmission schemes), wireless reception quality parameters, and network quality parameters. This parameter expansion enables more accurate DL throughput estimation by accounting for terminal-specific characteristics that affect data transmission speed.
Solution Approach 2:
The patent segments the estimation process into distinct functional modules: an acquisition unit for collecting multi-source data, a coefficient derivation unit for calculating estimation parameters, and an estimation unit for computing DL throughput. This segmentation maintains system manageability while achieving improved measurement precision through comprehensive data processing.
2Measurement precision
If conventional techniques do not take terminal characteristics into account, then the estimation process is simple, but the measurement precision of DL throughput is insufficient
Solution Approach 1:
The patent performs preliminary action by acquiring and storing terminal information (model, transmission schemes) before the actual DL throughput estimation process. This advance preparation ensures that terminal characteristics are readily available when performing the estimation, preventing information loss and enabling accurate accounting of terminal-specific effects on data transmission speed.
Solution Approach 2:
The patent creates a universal estimation framework that handles multiple terminal types and characteristics through a unified approach. The system processes diverse terminal information (different models, transmission schemes) using the same estimation methodology, making the system multi-functional while maintaining measurement precision across various terminal configurations.
3Adaptability or versatility
If conventional techniques use limited carrier models, then the device complexity is low, but the adaptability to different network environments is insufficient
Solution Approach 1:
The patent implements a dynamic estimation approach where the system adapts to different network environments by processing real-time terminal information, wireless reception quality parameters, and network quality parameters. The estimation model dynamically adjusts to various carrier configurations and network conditions, providing versatility across different environments while maintaining manageable complexity through modular architecture.
Data Source
AI summary
A quality estimation system for estimating DL throughput at user terminals which are connected to a wireless network, includes: acquisition means for acquiring at least terminal information, wireless reception quality information and network quality information from a plurality of user terminals; coefficient derivation means for deriving coefficients in an estimation equation in which the DL throughput is an objective variable and at least the wireless reception quality information and the network quality information are explanatory variables, based on the information acquired by the acquisition means; and estimation means for estimating DL throughput corresponding to measurement data from the measurement data using the estimation equation with application of the coefficients.