All ProjectsContact Dr. Hossain
Digital TwinMECHetNet
Digital Twin-enabled MEC for Heterogeneous Networks
Digital twins provide a real-time virtual replica of physical network infrastructure, enabling predictive optimization, what-if analysis, and proactive failure recovery. This project developed a lightweight digital twin platform tailored for mobile edge computing in heterogeneous IoT networks, enabling operators to simulate and optimize multi-service deployments without disrupting live operations.
Research Objectives
- Construct accurate digital twin models for MEC servers and IoT end-devices
- Enable real-time synchronization between physical and virtual network states
- Use digital twin simulations to pre-optimize task offloading and resource allocation policies
- Validate twin fidelity under dynamic network conditions and device mobility
Methods & Techniques
- Model-based systems engineering for twin construction
- Online learning for adaptive twin state synchronization
- Deep Q-Network (DQN) for offloading policy optimization within the twin
- Trace-driven simulation using real IoT traffic datasets
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