activity
20242026
most citedLeveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles

5 citations · 19 across the 14 of their papers we have counts for

collaborators

15 papers

cs.NI2026

Semantic Edge-Cloud Communication for Real-Time Urban Traffic Digital Twins

Murat Arda Onsu, Arman Dogru, Poonam Lohan +2

Urban traffic systems are becoming increasingly complex, demanding real-time traffic perception, proactive collision prediction, and intelligent management to improve safety and re…

cs.CV2026

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…

cs.NI2026

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…

cs.NI2026

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…

cs.CV2026

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…

cs.NI2025

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…

cs.NI2025

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…

cs.NI2025★ 1 cited

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…

cs.NI2025★ 5 cited

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…

cs.AI2025★ 1 cited

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…

cs.NI2025★ 4 cited

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…

cs.NI2024★ 2 cited

Scalability Assurance in SFC provisioning via Distributed Design for Deep Reinforcement Learning

Murat Arda Onsu, Poonam Lohan, Burak Kantarci +1

High-quality Service Function Chaining (SFC) provisioning is provided by the timely execution of Virtual Network Functions (VNFs) in a defined sequence. Advanced Deep Reinforcement…

cs.NI2024★ 5 cited

GenAI Assistance for Deep Reinforcement Learning-based VNF Placement and SFC Provisioning in 5G Cores

Murat Arda Onsu, Poonam Lohan, Burak Kantarci +1

Virtualization technology, Network Function Virtualization (NFV), gives flexibility to communication and 5G core network technologies for dynamic and efficient resource allocation…

cs.NI2024★ 1 cited

A Novel Joint DRL-Based Utility Optimization for UAV Data Services

Xuli Cai, Poonam Lohan, Burak Kantarci

In this paper, we propose a novel joint deep reinforcement learning (DRL)-based solution to optimize the utility of an uncrewed aerial vehicle (UAV)-assisted communication network.…

cs.NI2024

A New Realistic Platform for Benchmarking and Performance Evaluation of DRL-Driven and Reconfigurable SFC Provisioning Solutions

Murat Arda Onsu, Poonam Lohan, Burak Kantarci +2

Service Function Chain (SFC) provisioning stands as a pivotal technology in the realm of 5G and future networks. Its essence lies in orchestrating VNFs (Virtual Network Functions)…