All Outputs (8)

GRU-Aided Intra-Cluster Topology Mapping for Aeronautical Ad-Hoc Networks (2022)
Presentation / Conference Contribution
Bilen, T., & Canberk, B. (2022). GRU-Aided Intra-Cluster Topology Mapping for Aeronautical Ad-Hoc Networks. In GLOBECOM 2022 - 2022 IEEE Global Communications Conference (5989-5994). https://doi.org/10.1109/globecom48099.2022.10001102

Aeronautical Ad-hoc Networks (AANET) is a fairly new concept that connects airplanes via wireless air-to-air links, allowing passengers to access the Internet during a flight. The unstable air-to-air link characteristics and ultra-dynamic topology be... Read More about GRU-Aided Intra-Cluster Topology Mapping for Aeronautical Ad-Hoc Networks.

Q-learning driven routing for aeronautical Ad-Hoc networks (2022)
Journal Article
Bilen, T., & Canberk, B. (2022). Q-learning driven routing for aeronautical Ad-Hoc networks. Pervasive and Mobile Computing, 87, Article 101724. https://doi.org/10.1016/j.pmcj.2022.101724

The aeronautical ad-hoc network (AANET) is one of the critical methodologies to satisfy the Internet connectivity requirement of airplanes during their flights. However, the ultra-dynamic topology and unstable air-to-air link characteristics increase... Read More about Q-learning driven routing for aeronautical Ad-Hoc networks.

Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead (2022)
Journal Article
Masaracchia, A., Sharma, V., Canberk, B., Dobre, O. A., & Duong, T. Q. (2022). Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead. IEEE Open Journal of the Communications Society, 3, 2137-2150. https://doi.org/10.1109/OJCOMS.2022.32190

The concept of digital twin (DT) is constantly revealing as a key enabling technology for the deployment of mobile communication services envisaged for the sixth-generation (6G) Internet-of-Things (IoT). This paper aims at providing a comprehensive r... Read More about Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead.

A Proof Of Concept On Digital Twin-Controlled WiFi Core Network Selection For In-Flight Connectivity (2022)
Journal Article
Bilen, T., Ak, E., Bal, B., & Canberk, B. (2022). A Proof Of Concept On Digital Twin-Controlled WiFi Core Network Selection For In-Flight Connectivity. IEEE Communications Standards Magazine, 6(3), 60-68. https://doi.org/10.1109/MCOMSTD.0001.2100103

The in-flight connectivity (IFC) turns to a crucial need from luxury with technological advances. The WiFi-enabled IFC (W-IFC) meets most of this need by deploying access points within the aircraft. These access points can allow Internet connectivity... Read More about A Proof Of Concept On Digital Twin-Controlled WiFi Core Network Selection For In-Flight Connectivity.

Digital Twin-Enabled Intelligent DDoS Detection Mechanism For Autonomous Core Networks (2022)
Journal Article
Yigit, Y., Bal, B., Karameseoglu, A., Duong, T. Q., & Canberk, B. (2022). Digital Twin-Enabled Intelligent DDoS Detection Mechanism For Autonomous Core Networks. IEEE Communications Standards Magazine, 6(3), 38-44. https://doi.org/10.1109/MCOMSTD.0001.210

Existing distributed denial of service attack (DDoS) solutions cannot handle highly aggregated data rates; thus, they are unsuitable for Internet service provider (ISP) core networks. This article proposes a digital twin-enabled intelligent DDoS dete... Read More about Digital Twin-Enabled Intelligent DDoS Detection Mechanism For Autonomous Core Networks.

Enabling Self-Organizing TDMA Scheduling for Aerial Swarms (2022)
Presentation / Conference Contribution
Aydın, E. E., Kara, O., Cakir, F., Cansiz, B. S., Seçinti, G., & Canberk, B. (2022). Enabling Self-Organizing TDMA Scheduling for Aerial Swarms. In DroNet '22: Proceedings of the Eighth Workshop on Micro Aerial Vehicle Networks, Systems, and Applicatio

With the proliferation of affordable VTOL drones, application domain of aerial swarms expands everyday, spanning from public drone art to offensive military operations. Orchestrating these systems towards a successful mission, especially in contested... Read More about Enabling Self-Organizing TDMA Scheduling for Aerial Swarms.

DTWN: Q-learning-based Transmit Power Control for Digital Twin WiFi Networks (2022)
Journal Article
Çakır, L. V., Huseynov, K., Ak, E., & Canberk, B. (2022). DTWN: Q-learning-based Transmit Power Control for Digital Twin WiFi Networks. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 9(31), Article e5. https://doi.org/10.4108/

Interference has always been the main threat to the performance of traditional WiFi networks and next-generation moving forward. The problem can be solved with transmit power control(TPC). However, to accomplish this, an information-gathering process... Read More about DTWN: Q-learning-based Transmit Power Control for Digital Twin WiFi Networks.

Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines (2022)
Journal Article
Fahim, M., Sharma, V., Cao, T., Canberk, B., & Duong, T. Q. (2022). Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines. IEEE Access, 10, 14184-14194. https://doi.org/10.1109/access.2022.3147602

Wind turbines are one of the primary sources of renewable energy, which leads to a sustainable and efficient energy solution. It does not release any carbon emissions to pollute our planet. The wind farms monitoring and power generation prediction is... Read More about Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines.