8 papers
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…
LiLM-RDB-SFC: Lightweight Language Model with Relational Database-Guided DRL for Optimized SFC Provisioning
Parisa Fard Moshiri, Xinyu Zhu, Poonam Lohan +2
Effective management of Service Function Chains (SFCs) and optimal Virtual Network Function (VNF) placement are critical challenges in modern Software-Defined Networking (SDN) and…
Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles
Murat Arda Onsu, Poonam Lohan, Burak Kantarci
The evolution of Artificial Intelligence (AI) and its subset Deep Learning (DL), has profoundly impacted numerous domains, including autonomous driving. The integration of autonomo…
Leveraging Multimodal-LLMs Assisted by Instance Segmentation for Intelligent Traffic Monitoring
Murat Arda Onsu, Poonam Lohan, Burak Kantarci +3
A robust and efficient traffic monitoring system is essential for smart cities and Intelligent Transportation Systems (ITS), using sensors and cameras to track vehicle movements, o…
Integrating Language Models for Enhanced Network State Monitoring in DRL-Based SFC Provisioning
Parisa Fard Moshiri, Murat Arda Onsu, Poonam Lohan +2
Efficient Service Function Chain (SFC) provisioning and Virtual Network Function (VNF) placement are critical for enhancing network performance in modern architectures such as Soft…