Digital Twin Platform for Wireless Network Emulation
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Solution Overview
Problem
Existing wireless network emulation platforms face challenges in accurately simulating real-world wireless environments, which affects the reliability of solutions tested on these platforms, especially in avoiding harmful interference to coexisting communication systems.
Innovation Solution
A digital twinning platform is introduced, which includes a real-world twin component and a virtual-world twin component, representing a matching subset of layers of a full stack wireless communications network. This platform enables bi-directional data flow and uses a communications module to simulate channel environments, allowing for real-time testing and validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless network emulation platforms are used to simulate real-world environments, then testing and validation can be performed, but the accuracy and reliability of the simulation is insufficient
Solution Approach 1:
The patent creates a digital twin that is a virtual copy of the physical wireless network environment. This digital replica includes virtual representations of base stations, user equipment, and channel characteristics, allowing accurate simulation and testing without requiring the actual physical infrastructure. The copying principle enables reliable testing by maintaining fidelity to the original system while providing a controllable virtual environment.
Solution Approach 2:
The system performs preliminary emulation and validation in the digital twin environment before deploying changes to the actual wireless network. By conducting simulations, interference analysis, and solution testing in advance in the virtual copy, the system ensures that only validated changes are applied to the physical network, thereby improving reliability while maintaining precision through pre-validation.
2Measurement precision
If digital twinning platform is implemented to improve simulation accuracy, then real-time modeling is achieved, but system complexity increases
Solution Approach 1:
The digital twin system is segmented into distinct functional modules including channel modeling components, interference analysis modules, and virtual network representations. This segmentation allows each component to be developed, validated, and maintained independently, managing system complexity while achieving high modeling accuracy through specialized sub-components that can be combined to create the complete virtual environment.
3Productivity
If real-time bi-directional data flow is enabled between virtual and physical twins, then real-time testing is possible, but data synchronization challenges arise
Solution Approach 1:
The system implements bidirectional feedback loops between the digital twin and physical network, allowing real-time data exchange and synchronization. Measurements and performance data from the physical network feed into the digital twin for analysis, while validated configurations and optimizations from the digital twin are fed back to the physical system. This feedback mechanism maintains data synchronization accuracy while enabling real-time testing and validation capabilities.
Data Source
AI summary
Embodiments disclose a computer-implemented system for representing a wireless communications network. The system includes a digital twinning platform including a real-world twin component and a virtual-world twin component representing at least a matching subset of layers of a full stack wireless communications network, and a communications module configured to enable bi-directional flow of data representing state information corresponding to the subset of layers of the real-world component and the virtual-world component.