11 papers
Scalable machine learning-based approaches for energy saving in densely deployed Open RAN
Xuanyu Liang, Ahmed Al-Tahmeesschi, Swarna Chetty +3
Densely deployed base stations are responsible for the majority of the energy consumed in Radio access network (RAN). While these deployments are crucial to deliver the required da…
A Digital Twin Platform for QoS Optimization Under DoS Attacks for Next Generation Radio Networks
Mehmet Ali Erturk, Kubra Duran, Ahmed Al-Dubai +1
Digital Twins are being used as an enabling technology in 6G applications across various domains, valued for their data-driven insights and real-time decision-making capabilities.…
Digital Twin-Guided Energy Management over Real-Time Pub/Sub Protocol in 6G Smart Cities
Kubra Duran, Lal Verda Cakir, Sana Ullah Jan +2
Although the emergence of 6G IoT networks has accelerated the deployment of enhanced smart city services, the resource limitations of IoT devices remain as a significant problem. G…
PRZK-Bind: A Physically Rooted Zero-Knowledge Authentication Protocol for Secure Digital Twin Binding in Smart Cities
Yagmur Yigit, Mehmet Ali Erturk, Kerem Gursu +1
Digital twin (DT) technology is rapidly becoming essential for smart city ecosystems, enabling real-time synchronisation and autonomous decision-making across physical and digital…
JamShield: A Machine Learning Detection System for Over-the-Air Jamming Attacks
Ioannis Panitsas, Yagmur Yigit, Leandros Tassiulas +2
Wireless networks are vulnerable to jamming attacks due to the shared communication medium, which can severely degrade performance and disrupt services. Despite extensive research,…
Lightweight Authenticated Task Offloading in 6G-Cloud Vehicular Twin Networks
Sarah Al-Shareeda, Fusun Ozguner, Keith Redmill +2
Task offloading management in 6G vehicular networks is crucial for maintaining network efficiency, particularly as vehicles generate substantial data. Integrating secure communicat…