Digital Twin for Physical Layer Carrier Data Modeling
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Solution Overview
Problem
Current simulators in telecommunication networks lack the accuracy to capture the complex interactions between network equipment and mechanisms, limiting their ability to accurately model and optimize physical layer carrier data behaviors for Discrete Multi-Tone (DMT) based communication technologies like DSL.
Innovation Solution
A digital twin of the physical layer carrier data is created, which receives inputs of parameters and performance characteristics to simulate and determine performance characteristics, using processing modules that simulate medium channel frequency response, noise sequences, and other metrics to provide accurate representations of network behaviors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional simulators are used to model physical layer carrier data, then the system complexity is reduced, but the measurement precision and accuracy of network behavior modeling deteriorates
Solution Approach 1:
The digital twin system is segmented into multiple independent processing modules, each responsible for specific aspects of physical layer carrier data modeling (e.g., medium channel frequency response, noise sequences, interference patterns). This segmentation allows high measurement precision for individual components while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The patent introduces an intermediary layer between the physical network and the digital twin, using machine learning models and algorithms to translate complex physical layer interactions into accurate digital representations. This intermediary enables high measurement precision without requiring direct complex modeling of all physical interactions.
2Reliability
If electro-magnetic theory is used to simulate signal propagation, then the computational requirements are reduced, but the reliability of network behavior representation deteriorates
Solution Approach 1:
The patent replaces traditional electro-magnetic field simulations with a digital twin approach using machine learning models and processed data representations. This substitution maintains high reliability in representing network equipment behaviors while reducing computational requirements by working with processed data rather than solving complex electro-magnetic equations in real-time.
Solution Approach 2:
The system changes the parameters used for modeling from physical electro-magnetic field parameters to processed carrier data parameters and performance characteristics. This parameter transformation enables accurate representation of network behaviors with lower computational cost by working with already-processed data rather than raw physical simulations.
3Measurement precision
If detailed modeling of all network equipment mechanisms is implemented, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The detailed modeling is segmented into distinct processing modules, each handling specific network equipment mechanisms or physical layer characteristics. This segmentation achieves high measurement precision for individual components while managing overall system complexity through modular organization and selective activation of modules based on specific modeling needs.
Data Source
AI summary
Disclosed herein is an apparatus for providing one or more performance characteristics of a physical layer for Discrete Multi-Tone, DMT, based communication. The apparatus comprises means for receiving one or more first inputs, each first input indicative of a parameter associated with the physical layer. The apparatus comprises means for receiving one or more second inputs, each second input indicative of a performance characteristic of the physical layer, to be output. The apparatus comprises means for selecting, based on the one or more second inputs, one or more processing modules of a digital twin of the physical layer carrier data. The apparatus comprises means for determining, using the selected one or more processing modules and the one or more first inputs, the one or more performance characteristics. The apparatus comprises means for providing the one or more performance characteristics as output. A method and computer program are also disclosed.