All ProjectsContact Dr. Hossain
UAVMECIoT
UAV-assisted Mobile Edge Computing
Unmanned aerial vehicles (UAVs) serving as flying edge servers offer unique flexibility for providing compute and communication services to ground IoT devices in areas without fixed infrastructure. This project designed numerology-aware UAV-MEC architectures that jointly optimize UAV trajectory, computation task offloading decisions, and radio resource allocation to serve massive IoT networks with heterogeneous QoS requirements.
Research Objectives
- Jointly optimize UAV flight trajectory and offloading decisions under energy and latency constraints
- Support mixed numerology waveforms to serve diverse IoT service types simultaneously
- Develop multi-UAV cooperative strategies for large-scale IoT coverage
- Model and minimize UAV propulsion energy while maintaining coverage guarantees
Methods & Techniques
- Successive convex approximation (SCA) for non-convex trajectory optimization
- Multi-numerology OFDM waveform design
- Deep Deterministic Policy Gradient (DDPG) for continuous trajectory control
- Lyapunov optimization for online resource management under time-varying channels
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