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20212026
most citedDigital Twin-Enabled Intelligent DDoS Detection Mechanism for Autonomous Core Networks

58 citations · 193 across the 28 of their papers we have counts for

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14 papers · 1 filter

cs.NI2026

Tutorial on Closed-Loop and Application-Aware Digital Twins for Future Wireless Networks

Yuchen Liu, Sara Garcia Sanchez, Mingzhe Chen +3

To support emerging applications such as extended reality, autonomous systems, and large-scale cyber-physical infrastructures, next-generation wireless networks must evolve beyond…

cs.NI2025

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.…

cs.NI2025

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…

cs.NI2025

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,…

cs.NI2024

Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks

Kubra Duran, Mehmet Ozdem, Kerem Gursu +1

The dramatic increase in the number of smart services and their diversity poses a significant challenge in Internet of Things (IoT) networks: heterogeneity. This causes significant…

cs.NI2024★ 1 cited

Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities

Kubra Duran, Lal Verda Cakir, Mehmet Ozdem +2

6G networks are envisioned to enable a wide range of applications, such as autonomous vehicles and smart cities. However, this rapid expansion of network topologies makes the manag…

cs.NI2024

AI-based traffic analysis in digital twin networks

Sarah Al-Shareeda, Khayal Huseynov, Lal Verda Cakir +3

In today's networked world, Digital Twin Networks (DTNs) are revolutionizing how we understand and optimize physical networks. These networks, also known as 'Digital Twin Networks…

cs.NI2024

DTRAN: A Special Use Case of RAN Optimization using Digital Twin

Caglar Tunc, Kubra Duran, Buse Bilgin +2

The emergence of beyond 5G (B5G) and 6G networks underscores the critical role of advanced computer-aided tools, such as network digital twins (DTs), in fostering autonomous networ…

cs.NI2024

Real-Time Digital Twin Platform: A Case Study on Core Network Selection in Aeronautical Ad-Hoc Networks

Lal Verda Cakir, Mihriban Kocak, Mehmet Özdem +1

The development of Digital Twins (DTs) is hindered by a lack of specialized, open-source solutions that can meet the demands of dynamic applications. This has caused state-of-the-a…

cs.NI2024

What-if Analysis Framework for Digital Twins in 6G Wireless Network Management

Elif Ak, Berk Canberk, Vishal Sharma +2

This study explores implementing a digital twin network (DTN) for efficient 6G wireless network management, aligning with the fault, configuration, accounting, performance, and sec…

cs.NI2024

Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas?

Sarah Al-Shareeda, Sema F. Oktug, Yusuf Yaslan +2

This paper investigates the potential of Digital Twins (DTs) to enhance network performance in densely populated urban areas, specifically focusing on vehicular networks. The study…

cs.NI2024★ 21 cited

How to synchronize Digital Twins? A Communication Performance Analysis

Lal Verda Cakir, Sarah Al-Shareeda, Sema F. Oktug +3

Synchronization is fundamental for mirroring real-world entities in real-time and supporting effective operations of Digital Twins (DTs). Such synchronization is enabled by the com…

cs.NI2023

Digital Twin-Native AI-Driven Service Architecture for Industrial Networks

Kubra Duran, Matthew Broadbent, Gokhan Yurdakul +1

The dramatic increase in the connectivity demand results in an excessive amount of Internet of Things (IoT) sensors. To meet the management needs of these large-scale networks, suc…

cs.NI2022★ 10 cited

YA-DA: YAng-Based DAta Model for Fine-Grained IIoT Air Quality Monitoring

Yagmur Yigit, Khayal Huseynov, Hamed Ahmadi +1

With the development of industrialization, air pollution is also steadily on the rise since both industrial and daily activities generate a massive amount of air pollution. Since d…