Cover Image

Automatic Generation of Digital Twins for Network Testing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ding, Shenjia, Flynn, David, Harvey, Paul
Format:	Preprint
Published:	2025
Subjects:	Networking and Internet Architecture Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Integrating Generative AI with Network Digital Twins for Enhanced Network Operations
by: Muhammad, Kassi, et al.
Published: (2024)

Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler
by: Tao, Zhenyu, et al.
Published: (2023)

On Transferring, Merging, and Splitting Task-Oriented Network Digital Twins
by: Zhang, Zifan, et al.
Published: (2025)

Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network
by: Xie, Yu, et al.
Published: (2024)

Energy-Efficient Federated Learning and Migration in Digital Twin Edge Networks
by: Zhou, Yuzhi, et al.
Published: (2025)

Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin
by: Isah, Abubakar, et al.
Published: (2025)

Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation
by: Xie, Yu, et al.
Published: (2024)

Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks
by: Zhang, Zifan, et al.
Published: (2024)

M3Net: A Multi-Metric Mixture of Experts Network Digital Twin with Graph Neural Networks
by: Guda, Blessed, et al.
Published: (2025)

Federated Learning-Assisted Optimization of Mobile Transmission with Digital Twins
by: Heydari, Mohammad, et al.
Published: (2026)

Synergizing AI and Digital Twins for Next-Generation Network Optimization, Forecasting, and Security
by: Zhang, Zifan, et al.
Published: (2025)

Sustainable Diffusion-based Incentive Mechanism for Generative AI-driven Digital Twins in Industrial Cyber-Physical Systems
by: Wen, Jinbo, et al.
Published: (2024)

Automatic Network Planning with Digital Radio Twin
by: Li, Xiaomeng, et al.
Published: (2025)

Better Together: Leveraging Multiple Digital Twins for Deployment Optimization of Airborne Base Stations
by: Belgiovine, Mauro, et al.
Published: (2025)

Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing
by: Chen, Xiangchun, et al.
Published: (2024)

Optimizing Wireless Resource Management and Synchronization in Digital Twin Networks
by: Yu, Hanzhi, et al.
Published: (2025)

Beyond 5G Network Failure Classification for Network Digital Twin Using Graph Neural Network
by: Isah, Abubakar, et al.
Published: (2024)

VoI-Driven Joint Optimization of Control and Communication in Vehicular Digital Twin Network
by: Lei, Lei, et al.
Published: (2025)

Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity Networks
by: Yu, Hanzhi, et al.
Published: (2026)

Relativistic Digital Twin: Bringing the IoT to the Future
by: Sciullo, Luca, et al.
Published: (2023)

Network Digital Untwinning: Towards Backward Optimization of Digital Twins
by: Zhang, Zifan, et al.
Published: (2026)

Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning
by: Hou, Qiushuo, et al.
Published: (2024)

Automated Network Protocol Testing with LLM Agents
by: Wei, Yunze, et al.
Published: (2025)

Demand-Aware Beam Hopping and Power Allocation for Load Balancing in Digital Twin empowered LEO Satellite Networks
by: Zhao, Ruili, et al.
Published: (2024)

Towards Trustworthy 6G Network Digital Twins: A Framework for Validating Counterfactual What-If Analysis in Edge Computing Resources
by: Agudelo, Julian Jimenez, et al.
Published: (2026)

A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems
by: Homaei, Mohammadhossein, et al.
Published: (2025)

Twin Sorting Dynamic Programming Assisted User Association and Wireless Bandwidth Allocation for Hierarchical Federated Learning
by: Gau, Rung-Hung, et al.
Published: (2024)

TraceCodec: A Compiler-Backed Neural Codec for Stateful Multi-Flow Network Traffic Traces
by: Ding, Junhui, et al.
Published: (2026)

Toward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges
by: Cheng, Nan, et al.
Published: (2024)

Synthesizing Diverse Network Flow Datasets with Scalable Dynamic Multigraph Generation
by: Grayeli, Arya, et al.
Published: (2025)

Generative QoE Modeling: A Lightweight Approach for Telecom Networks
by: Nayar, Vinti, et al.
Published: (2025)

DiffSG: A Generative Solver for Network Optimization with Diffusion Model
by: Liang, Ruihuai, et al.
Published: (2024)

AutoBS: Autonomous Base Station Deployment with Reinforcement Learning and Digital Network Twins
by: Lee, Ju-Hyung, et al.
Published: (2025)

GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks
by: Liang, Ruihuai, et al.
Published: (2024)

State Aware Traffic Generation for Real-Time Network Digital Twins
by: Koktas, Enes, et al.
Published: (2025)

A Multi-Modal Simulation Framework to Enable Digital Twin-based V2X Communications in Dynamic Environments
by: Cazzella, Lorenzo, et al.
Published: (2023)

Real-Time Network Traffic Forecasting with Missing Data: A Generative Model Approach
by: Deng, Lei, et al.
Published: (2025)

A Novel Short-Term Anomaly Prediction for IIoT with Software Defined Twin Network
by: Dalgic, Bilal, et al.
Published: (2025)

Interpretable Feature Learning in Multivariate Big Data Analysis for Network Monitoring
by: Camacho, José, et al.
Published: (2019)

Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches
by: Gao, Xiaozheng, et al.
Published: (2025)