154 citations · 445 across the 69 of their papers we have counts for
20 papers · 1 filter
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…
CWGAN-GP Augmented CAE for Jamming Detection in 5G-NR in Non-IID Datasets
Samhita Kuili, Mohammadreza Amini, Burak Kantarci
In the ever-expanding domain of 5G-NR wireless cellular networks, over-the-air jamming attacks are prevalent as security attacks, compromising the quality of the received signal. W…
Advancing Autonomous Vehicle Safety: A Combined Fault Tree Analysis and Bayesian Network Approach
Lansu Dai, Burak Kantarci
This paper integrates Fault Tree Analysis (FTA) and Bayesian Networks (BN) to assess collision risk and establish Automotive Safety Integrity Level (ASIL) B failure rate targets fo…
A Reliable and Efficient 5G Vehicular MEC: Guaranteed Task Completion with Minimal Latency
Mahsa Paknejad, Parisa Fard Moshiri, Murat Simsek +2
This paper explores the advancement of Vehicular Edge Computing (VEC) as a tailored application of Mobile Edge Computing (MEC) for the automotive industry, addressing the rising de…
Partitioned Task Offloading for Low-Latency and Reliable Task Completion in 5G MEC
Parisa Fard Moshiri, Murat Simsek, Burak Kantarci
The demand for MEC has increased with the rise of data-intensive applications and 5G networks, while conventional cloud models struggle to satisfy low-latency requirements. While t…
Efficient Adversarial Detection Frameworks for Vehicle-to-Microgrid Services in Edge Computing
Ahmed Omara, Burak Kantarci
As Artificial Intelligence (AI) becomes increasingly integrated into microgrid control systems, the risk of malicious actors exploiting vulnerabilities in Machine Learning (ML) alg…
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…
AI-Augmented Metamorphic Testing for Comprehensive Validation of Autonomous Vehicles
Tony Zhang, Burak Kantarci, Umair Siddique
Self-driving cars have the potential to revolutionize transportation, but ensuring their safety remains a significant challenge. These systems must navigate a variety of unexpected…
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…
A Two-Stage CAE-Based Federated Learning Framework for Efficient Jamming Detection in 5G Networks
Samhita Kuili, Mohammadreza Amini, Burak Kantarci
Cyber-security for 5G networks is drawing notable attention due to an increase in complex jamming attacks that could target the critical 5G Radio Frequency (RF) domain. These attac…
Active RIS-Assisted URLLC NOMA-Based 5G Network with FBL under Jamming Attacks
Ghazal Asemian, Mohammadreza Amini, Burak Kantarci
In this paper, we tackle the challenge of jamming attacks in Ultra-Reliable Low Latency Communication (URLLC) within Non-Orthogonal Multiple Access (NOMA)-based 5G networks under F…
Joint Task Offloading and User Scheduling in 5G MEC under Jamming Attacks
Mohammadreza Amini, Burak Kantarci, Claude D'Amours +1
In this paper, we propose a novel joint task offloading and user scheduling (JTO-US) framework for 5G mobile edge computing (MEC) systems under security threats from jamming attack…