RAN Performance Calibration Using Measured-Simulated Difference Functions
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Solution Overview
Problem
Current methods for determining the performance of wireless transmitters in telecommunications networks, such as Field Drive Tests and computational simulations, face challenges in resource intensity and accuracy, with real measurements being time-consuming and simulated values often differing from actual performance.
Innovation Solution
A method that calculates a difference function between measured and simulated performance values in unit cells of a wireless telecommunications network, applies this function to adjacent cells to generate modified simulated values, and configures the network based on these values for multiple configuration profiles, combining the accuracy of real-world measurements with the efficiency of simulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Field Drive Tests are conducted to obtain accurate performance measurements, then measurement precision is improved, but resource requirements and time consumption increase significantly
Solution Approach 1:
The patent creates a virtual copy of the physical network environment through computational simulation. Instead of conducting Field Drive Tests for every configuration scenario, the system simulates network performance in a virtual model that replicates real-world conditions. This allows multiple configuration profiles to be evaluated efficiently without repeated physical measurements, resolving the contradiction between measurement accuracy and resource efficiency.
Solution Approach 2:
The system performs preliminary calibration by conducting Field Drive Tests only once to establish the relationship between simulated and measured values. This preliminary action creates a calibration model that can then be used for future performance predictions without requiring repeated Field Drive Tests. The calibration phase captures environmental characteristics and propagation conditions, enabling subsequent simulations to accurately predict performance with minimal resource投入.
2Productivity
If computational simulation tools are used to predict performance, then resource requirements are reduced, but measurement precision deteriorates due to differences from real measurements
Solution Approach 1:
The system implements a feedback mechanism where simulated performance values are continuously compared with actual Field Drive Test measurements. The difference function quantifies the discrepancy between simulation and reality, and this feedback is used to iteratively improve the simulation model. By adjusting simulation parameters based on measurement feedback, the system reduces the gap between predicted and actual performance, maintaining high accuracy while preserving computational efficiency.
Solution Approach 2:
The patent dynamically adjusts simulation parameters based on the calibration process and measured data. Configuration parameters such as propagation models, antenna characteristics, and environmental factors are refined by comparing simulation results with Field Drive Test measurements. This parameter optimization ensures that the computational simulation accurately reflects real-world performance, resolving the accuracy-deficiency issue while maintaining resource efficiency.
3Reliability
If all APs are measured in all configurations simultaneously to determine optimal configuration profiles, then comprehensive performance data is obtained, but resource requirements become prohibitively high
Solution Approach 1:
The patent segments the evaluation process into two distinct phases: calibration phase and evaluation phase. During calibration, Field Drive Tests are conducted for a representative subset of configurations to establish the simulation model. During evaluation, the calibrated simulation tool is used to assess all configuration profiles computationally. This segmentation allows comprehensive configuration evaluation without requiring exhaustive Field Drive Tests, maintaining optimization reliability while enabling scalability.
Solution Approach 2:
The calibrated simulation model serves multiple functions: it predicts performance for individual APs, evaluates configuration profiles, optimizes network parameters, and supports planning decisions. This universal tool replaces the need for separate Field Drive Tests for each configuration scenario, enabling comprehensive performance assessment across all APs and configurations with a single calibrated model, thus achieving both reliability and scalability.
Data Source
AI summary
A method of determining performance of a Radio Access Network (RAN) of a telecommunications network is disclosed in which the RAN covers an area that is divided into a plurality of unit cells. The method includes receiving a measured performance value of the RAN within at least one unit cell of the plurality of unit cells; receiving a simulated performance value of the RAN within each of the plurality of unit cells; identifying a unit cell that is associated with both a measured performance value and a simulated performance value; calculating, for the identified unit cell, a difference function between the simulated performance value and the measured performance value; and applying the difference function to the simulated performance value of at least one adjacent unit cell to the identified unit cell to determine a modified simulated performance value for the at least one adjacent unit cell.