11 papers
Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction
Murat Arda Onsu, Poonam Lohan, Burak Kantarci +3
Intelligent Transportation Systems (ITS) demand real-time collision prediction to ensure road safety and reduce accident severity. Conventional approaches rely on transmitting raw…
A Lightweight Digital-Twin-Based Framework for Edge-Assisted Vehicle Tracking and Collision Prediction
Murat Arda Onsu, Poonam Lohan, Burak Kantarci +3
Vehicle tracking, motion estimation, and collision prediction are fundamental components of traffic safety and management in Intelligent Transportation Systems (ITS). Many recent a…
Proactive SFC Provisioning with Forecast-Driven DRL in Data Centers
Parisa Fard Moshiri, Poonam Lohan, Burak Kantarci +1
Service Function Chaining (SFC) requires efficient placement of Virtual Network Functions (VNFs) to satisfy diverse service requirements while maintaining high resource utilization…
Structure-Aware NL-to-SQL for SFC Provisioning via AST-Masking Empowered Language Models
Xinyu Zhu, Parisa Fard Moshiri, Poonam Lohan +2
Effective Service Function Chain (SFC) provisioning requires precise orchestration in dynamic and latency-sensitive networks. Reinforcement Learning (RL) improves adaptability but…
Semantic Edge-Cloud Communication for Real-Time Urban Traffic Surveillance with ViT and LLMs over Mobile Networks
Murat Arda Onsu, Poonam Lohan, Burak Kantarci +3
Real-time urban traffic surveillance is vital for Intelligent Transportation Systems (ITS) to ensure road safety, optimize traffic flow, track vehicle trajectories, and prevent col…
FLARE: Flying Learning Agents for Resource Efficiency in Next-Gen UAV Networks
Xuli Cai, Poonam Lohan, Burak Kantarci
This letter addresses a critical challenge in the context of 6G and beyond wireless networks, the joint optimization of power and bandwidth resource allocation for aerial intellige…