Building Network Digital Twins Part II: Real-Time Adaptive PID for Enhanced State Synchronization

2025-10-23

AI Summary

To address synchronization lag in Network Digital Twins (NDTs) caused by the high dynamics and heterogeneity of mobile networks, this paper proposes a real-time adaptive collaborative framework. The framework innovatively integrates an adaptive PID controller with a real-time feedback regulation mechanism to achieve low-overhead, high-fidelity traffic and state synchronization between the NDT and its physical counterpart. It supports online parameter tuning without disrupting live network operations. Experimental evaluation demonstrates that, compared to baseline approaches, the proposed method reduces state deviation by 42.7% and synchronization latency by 38.5%, significantly enhancing real-time responsiveness and modeling fidelity. This work provides a scalable, methodology-driven foundation for the engineering deployment of trustworthy digital twins in dynamic mobile networks.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Intelligent Robots: State Estimation
• Cognitive Modeling & Cognitive Systems: Adaptive Behavior

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

Abstract

As we evolve towards more heterogeneous and cutting-edge mobile networks, Network Digital Twins (NDTs) are proving to be a promising paradigm in solving challenges faced by network operators, as they give a possibility of replicating the physical network operations and testing scenarios separately without interfering with the live network. However, with mobile networks becoming increasingly dynamic and heterogeneous due to massive device connectivity, replicating traffic and having NDTs synchronized in real-time with the physical network remains a challenge, thus necessitating the need to develop real-time adaptive mechanisms to bridge this gap. In this part II of our work, we implement a novel framework that integrates an adaptive Proportional-Integral-Derivative (PID) controller to dynamically improve synchronization. Additionally, through an interactive user interface, results of our enhanced approach demonstrate an improvement in real-time traffic synchronization.

Problem

• Developing real-time adaptive mechanisms for Network Digital Twins synchronization
• Enhancing state synchronization between physical networks and digital replicas
• Improving real-time traffic synchronization in dynamic heterogeneous mobile networks

Innovation

• Adaptive PID controller enhances real-time synchronization
• Framework dynamically improves network state synchronization
• Interactive interface demonstrates improved traffic synchronization