Cover Image

Large Vision Model-Enhanced Digital Twin with Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tao, Zhenyu, Xu, Wei, You, Xiaohu
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network
by: Tao, Zhenyu, et al.
Published: (2023)

Toward Trustworthy Digital Twins in Agentic AI-based Wireless Network Optimization: Challenges, Solutions, and Opportunities
by: Tao, Zhenyu, et al.
Published: (2025)

Provable Performance Bounds for Digital Twin-driven Deep Reinforcement Learning in Wireless Networks: A Novel Digital-Twin Bisimulation Metric
by: Tao, Zhenyu, et al.
Published: (2025)

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

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

Learning Load Balancing with GNN in MPTCP-Enabled Heterogeneous Networks
by: Ji, Han, et al.
Published: (2024)

A Survey of Freshness-Aware Wireless Networking with Reinforcement Learning
by: Alibotaiken, Alimu, et al.
Published: (2025)

Generative Flow Networks for Model Adaptation in Digital Twins of Natural Systems
by: Archambault, Pascal, et al.
Published: (2026)

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

Sustainable Load Balancing for Wireless Networks With Renewable Energy Sources
by: Alkalsh, Mustafa Mohammed Hasan, et al.
Published: (2026)

Control of Medical Digital Twins with Artificial Neural Networks
by: Böttcher, Lucas, et al.
Published: (2024)

Joint User Association and Bandwidth Assignment for Digital Twin-Assisted Multi-RAT Networks
by: Sarker, Manobendu, et al.
Published: (2025)

Variational Digital Twins
by: Burnett, Logan A., et al.
Published: (2025)

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

Sustainability of Data Center Digital Twins with Reinforcement Learning
by: Sarkar, Soumyendu, et al.
Published: (2024)

Representation Learning Enhanced Deep Reinforcement Learning for Optimal Operation of Hydrogen-based Multi-Energy Systems
by: Pu, Zhenyu, et al.
Published: (2026)

Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks
by: Chen, Yi-Ping, et al.
Published: (2025)

Deep Reinforcement Learning Approach to QoSAware Load Balancing in 5G Cellular Networks under User Mobility and Observation Uncertainty
by: Eskandarpour, Mehrshad, et al.
Published: (2025)

Dynamic Load Balancing for EV Charging Stations Using Reinforcement Learning and Demand Prediction
by: Mosalli, Hesam, et al.
Published: (2025)

Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network
by: Liu, Xu, et al.
Published: (2022)

Proactive Load-Shaping Strategies with Privacy-Cost Trade-offs in Residential Households based on Deep Reinforcement Learning
by: Zhang, Ruichang, et al.
Published: (2024)

Equation-Free Digital Twins for Nonlinear Structural Dynamics
by: Abaei, Mohammad Mahdi, et al.
Published: (2026)

Adaptive Resource Allocation Optimization Using Large Language Models in Dynamic Wireless Environments
by: Noh, Hyeonho, et al.
Published: (2025)

Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning
by: Mukherjee, Sayak, et al.
Published: (2022)

Learning Exactly Linearizable Deep Dynamics Models
by: Moriyasu, Ryuta, et al.
Published: (2023)

A Digital Twin for Diesel Engines: Operator-infused Physics-Informed Neural Networks with Transfer Learning for Engine Health Monitoring
by: Nath, Kamaljyoti, et al.
Published: (2024)

SCoTT: Strategic Chain-of-Thought Tasking for Wireless-Aware Robot Navigation in Digital Twins
by: Djuhera, Aladin, et al.
Published: (2024)

Physics-based Digital Twins for Integrated Thermal Energy Systems Using Active Learning
by: Nabila, Umme Mahbuba, et al.
Published: (2026)

Facilitating AI and System Operator Synergy: Active Learning-Enhanced Digital Twin Architecture for Day-Ahead Load Forecasting
by: Mylonas, Costas, et al.
Published: (2024)

Recurrent Auto-Encoders for Enhanced Deep Reinforcement Learning in Wilderness Search and Rescue Planning
by: Ewers, Jan-Hendrik, et al.
Published: (2025)

Deep Reinforcement Learning with Enhanced PPO for Safe Mobile Robot Navigation
by: Taheri, Hamid, et al.
Published: (2024)

Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks
by: Ojha, Ritesh, et al.
Published: (2023)

Large Language Models for Explainable Decisions in Dynamic Digital Twins
by: Zhang, Nan, et al.
Published: (2024)

Application of Deep Reinforcement Learning to Event-Triggered Control for Networked Artificial Pancreas Systems
by: Ikemoto, Junya, et al.
Published: (2026)

To Train or Not to Train: Balancing Efficiency and Training Cost in Deep Reinforcement Learning for Mobile Edge Computing
by: Boscaro, Maddalena, et al.
Published: (2024)

ReLU Networks for Model Predictive Control: Network Complexity and Performance Guarantees
by: Li, Xingchen, et al.
Published: (2026)

Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development
by: Ma, Longfei, et al.
Published: (2024)

Neighbor-Aware Reinforcement Learning for Mixed Traffic Optimization in Large-scale Networks
by: Islam, Iftekharul, et al.
Published: (2024)

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework
by: Lin, Yu-Zheng, et al.
Published: (2024)

LAPP: Large Language Model Feedback for Preference-Driven Reinforcement Learning
by: Jian, Pingcheng, et al.
Published: (2025)