154 citations · 445 across the 69 of their papers we have counts for
74 papers
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…
Intent2Tc: Automated Intent-to-Traffic Control Translation with Language Models
Andrea Masini, Sudipta Acharya, Paolo Bellavista +2
Automated and highly usable Quality-of-Service (QoS) enforcement requires translating high-level service intents into deployable traffic-management policies. Although intent-based…
NDT Factory: Synthesizing Verified Network Digital Twins from Semantic Models via Multi-Agent LLM
Sudipta Acharya, Petar Djukic, Burak Kantarci
Autonomous network management requires systems that can evaluate Network Service Intents (NSIs) under varying conditions without manual implementation of analysis logic, as envisio…
On Identifying Adversarial Intent Injection in AI-Native 6G Networks
Nilesh Chakraborty, Petar Djukic, Burak Kantarci
AI-native 6G networks have brought Intent-Based Networking (IBN) to the forefront, enabling high-level goals to be translated into network configurations. However, this abstraction…
From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective
Petar Djukic, Sudipta Acharya, Takai Eddine Kennouche +1
Standards bodies, including TM Forum, 3GPP, and ETSI, are converging on Agentic AI as the foundation for next-generation network management, where Large AI Model (LAM)-based agents…
Systems-Level Planning and Coordination of Truck-Drone Collaborative Delivery Networks
Didem Cicek, Burak Kantarci
Urban last-mile parcel delivery increasingly relies on heterogeneous fleets whose performance depends on timely coordination, reliable communication, and scalable control. Truck-dr…
HALO: Hierarchical Auction-assisted Learning for Offloading in SAGIN
Xuli Cai, Poonam Lohan, Sachin Ravikant Trankatwar +1
In this paper, we investigate delay-aware task offloading and resource scheduling in a three-tier space-air-ground integrated network (SAGIN) consisting of IoT devices, UAV edge no…
Stochastic Modeling of Human-Machine Authentication Channels under Partial Information Leakage
Nilesh Chakraborty, Mohammad Zulkernine, Burak Kantarci
Reliable and secure human-machine communication is fundamental to IoT and cyber-physical ecosystems, where smartphones and wearables commonly serve as authentication controllers. P…
Toward Resilient 5G Networks: Comparative Analysis of Federated and Centralized Learning for RF Jamming Detection
Samhita Kuili, Mohammadreza Amini, Burak Kantarci
Jamming attacks are proliferating and pose a significant threat to the security of 5G and beyond networks. These attacks target 5G radio frequency (RF) domain and can disrupt the c…
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…
Explainable and Hardware-Efficient Jamming Detection for 5G Networks Using the Convolutional Tsetlin Machine
Vojtech Halenka, Mohammadreza Amini, Per-Arne Andersen +2
All applications in fifth-generation (5G) networks rely on stable radio-frequency (RF) environments to support mission-critical services in mobility, automation, and connected inte…
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…
FTA-NTN: Fairness and Throughput Assurance in Non-Terrestrial Networks
Sachin Ravikant Trankatwar, Heiko Straulino, Petar Djukic +1
Designing optimal non-terrestrial network (NTN) constellations is essential for maximizing throughput and ensuring fair resource distribution. This paper presents FTA-NTN (Fairness…
Intent2QoS: Language Model-Driven Automation of Traffic Shaping Configurations
Sudipta Acharya, Burak Kantarci
Traffic shaping and Quality of Service (QoS) enforcement are critical for managing bandwidth, latency, and fairness in networks. These tasks often rely on low-level traffic control…
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…
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 Digital Twin Framework for Metamorphic Testing of Autonomous Driving Systems Using Generative Model
Tony Zhang, Burak Kantarci, Umair Siddique
Ensuring the safety of self-driving cars remains a major challenge due to the complexity and unpredictability of real-world driving environments. Traditional testing methods face s…
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…
On-Dyn-CDA: A Real-Time Cost-Driven Task Offloading Algorithm for Vehicular Networks with Reduced Latency and Task Loss
Mahsa Paknejad, Parisa Fard Moshiri, Murat Simsek +2
Real-time task processing is a critical challenge in vehicular networks, where achieving low latency and minimizing dropped task ratio depend on efficient task execution. Our prima…
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…
Reliable Task Offloading in MEC through Transmission Diversity and Jamming-Aware Scheduling
Ghazal Asemian, Mohammadreza Amini, Burak Kantarci
Mobile Edge Computing (MEC) enables low-latency applications by bringing computation closer to the user, but dynamic task arrivals and communication threats like jamming complicate…
Fast and Adaptive Task Management in MEC: A Deep Learning Approach Using Pointer Networks
Arild Yonkeu, Mohammadreza Amini, Burak Kantarci
Task offloading and scheduling in Mobile Edge Computing (MEC) are vital for meeting the low-latency demands of modern IoT and dynamic task scheduling scenarios. MEC reduces the pro…
Meeting Deadlines in Motion: Deep RL for Real-Time Task Offloading in Vehicular Edge Networks
Mahsa Paknejad, Parisa Fard Moshiri, Murat Simsek +2
Vehicular Mobile Edge Computing (VEC) drives the future by enabling low-latency, high-efficiency data processing at the very edge of vehicular networks. This drives innovation in k…