Prof Berk Canberk's Outputs (31)

Beam Alignment for IEEE 802.11be Powered by Task Oriented Indoor UWB Localization (2025)
Presentation / Conference Contribution
Karakaya, S. S., Sarı, T., Ak, E., Canberk, B., & Seçinti, G. (2024, September). Beam Alignment for IEEE 802.11be Powered by Task Oriented Indoor UWB Localization. Presented at 2024 IEEE 35th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Valencia, Spain

Coordinated beamforming is one of the crucial improvements for WiFi7. However, to provide sufficient Quality of Service, the corresponding beams have to be aligned accurately. Conventional approaches search for optimal beams in the available codebook... Read More about Beam Alignment for IEEE 802.11be Powered by Task Oriented Indoor UWB Localization.

Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks (2024)
Presentation / Conference Contribution
Duran, K., Ozdem, M., Gursu, K., & Canberk, B. (2024, November). Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks. Presented at 2024 IEEE 10th World Forum on Internet of Things (WFIoT2024), Ottawa, Canada

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 quality of service (QoS) degradation in IoT networks. In addition, th... Read More about Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks.

A Data Serialization-based Framework for Efficient IoT Management (2024)
Presentation / Conference Contribution
Huseynov, K., Cakir, L. V., Al-Shareeda, S., Özdem, M., & Canberk, B. (2024, November). A Data Serialization-based Framework for Efficient IoT Management. Presented at 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, Canada

The Internet of Things (IoT) management relies on the efficient and timely transfer of data from sensors to applications. Processing required data transformations at the edge gateway introduces spatial complexity issues, particularly concerning resou... Read More about A Data Serialization-based Framework for Efficient IoT Management.

Autonomous Queue Management System in Software-defined Routers for Sensor Networks (2024)
Presentation / Conference Contribution
Yigit, Y., Maglaras, L., Karantzalos, K., Gursu, K., Ozdem, M., Buchanan, W. J., & Canberk, B. (2024, November). Autonomous Queue Management System in Software-defined Routers for Sensor Networks. Presented at 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, Canada

Recent advancements in sensor networks, the In-ternet of Things (IoT), and machine communication technologies have led to a significant increase in network traffic across various domains. However, this growth has brought forth the critical challenge... Read More about Autonomous Queue Management System in Software-defined Routers for Sensor Networks.

Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities (2024)
Presentation / Conference Contribution
Duran, K., Cakir, L. V., Ozdem, M., Gursu, K., & Canberk, B. (2024, December). Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities. Paper presented at IEEE Global Communications Conference (GLOBECOM) 2024, Cape Town, South Africa

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 management of 6G wireless networks more complex and leads to performance de... Read More about Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities.

Group-Signature Authentication to Secure Task Offloading in Vehicular Edge Twin Networks (2024)
Presentation / Conference Contribution
Al-Shareeda, S., Ozguner, F., & Canberk, B. (2024, December). Group-Signature Authentication to Secure Task Offloading in Vehicular Edge Twin Networks. Paper presented at 2024 IEEE Global Communications Conference (GLOBECOM), Cape Town, South Africa

This study delves into the integration of Group Signature (GS)-based authentication within Vehicular Edge Twin Networks (VETNs), a critical component in ensuring secure and efficient vehicular communication. By leveraging Proximal Policy Optimization... Read More about Group-Signature Authentication to Secure Task Offloading in Vehicular Edge Twin Networks.

DTRAN: A Special Use Case of RAN Optimization using Digital Twin (2024)
Presentation / Conference Contribution
Tunc, C., Duran, K., Bilgin, B., Kalem, G., & Canberk, B. (2024, June). DTRAN: A Special Use Case of RAN Optimization using Digital Twin. Paper presented at 2024 European Conference on Networks and Communications EuCNC & 6G Summit, Antwerp, Belgium

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 networks and ubiquitous intelligence. Existing solutions in the DT domain pr... Read More about DTRAN: A Special Use Case of RAN Optimization using Digital Twin.

Continuous Transfer Learning for UAV Communication-aware Trajectory Design (2024)
Presentation / Conference Contribution
Sun, C., Fontanesi, G., Chetty, S. B., Liang, X., Canberk, B., & Ahmadi, H. (2024, July). Continuous Transfer Learning for UAV Communication-aware Trajectory Design. Presented at The 11th International Conference on Wireless Networks and Mobile Communications (WINCOM 2024), Leeds, England

Deep Reinforcement Learning (DRL) emerges as a prime solution for Unmanned Aerial Vehicle (UAV) trajectory planning, offering proficiency in navigating high-dimensional spaces, adaptability to dynamic environments, and making sequential decisions bas... Read More about Continuous Transfer Learning for UAV Communication-aware Trajectory Design.

Digital Twin-enabled Low-Carbon Sustainable Edge Computing for Wireless Networks (2024)
Presentation / Conference Contribution
Huynh, D. V., Khosravirad, S. R., Sharma, V., Canberk, B., Dobre, O. A., & Duong, T. Q. (2024, December). Digital Twin-enabled Low-Carbon Sustainable Edge Computing for Wireless Networks. Paper presented at 2024 IEEE Global Communications Conference: Wireless Communications (GLOBECOM), Cape Town, South Africa

The advancement of sophisticated communication technologies and robust computing systems has unlocked opportunities for new applications across various domains. While these applications promise enhanced convenience and improved living standards, they... Read More about Digital Twin-enabled Low-Carbon Sustainable Edge Computing for Wireless Networks.

AI in Energy Digital Twining: A Reinforcement Learning-Based Adaptive Digital Twin Model for Green Cities (2024)
Presentation / Conference Contribution
Cakir, V. L., Duran, K., Thomson, C., Broadbent, M., & Canberk, B. (2024, June). AI in Energy Digital Twining: A Reinforcement Learning-Based Adaptive Digital Twin Model for Green Cities. Presented at ICC 2024 - IEEE International Conference on Communications, Denver, CO, USA

Digital Twins (DT) have become crucial to achieve sustainable and effective smart urban solutions. However, current DT modelling techniques cannot support the dynamicity of these smart city environments. This is caused by the lack of right-time data... Read More about AI in Energy Digital Twining: A Reinforcement Learning-Based Adaptive Digital Twin Model for Green Cities.

A YANG-Aided Unified Strategy for Black Hole Detection for Backbone Networks (2024)
Presentation / Conference Contribution
Ak, E., Kaya, K., Ozaltun, E., Gunduz Oguducu, S., & Canberk, B. (2024, June). A YANG-Aided Unified Strategy for Black Hole Detection for Backbone Networks. Presented at ICC 2024 - IEEE International Conference on Communications, Denver, CO, USA

Despite the crucial importance of addressing Black Hole failures in Internet backbone networks, effective detection strategies in backbone networks are lacking. This is largely because previous research has been centered on Mobile Ad-hoc Networks (MA... Read More about A YANG-Aided Unified Strategy for Black Hole Detection for Backbone Networks.

An Intelligent Digital Twin Model for Attack Detection in Zero-Touch 6G Networks (2024)
Presentation / Conference Contribution
Bolat-Akça, B., Bozkaya-Aras, E., Canberk, B., Buchanan, B., & Schmid, S. (2024, June). An Intelligent Digital Twin Model for Attack Detection in Zero-Touch 6G Networks. Presented at 2024 IEEE International Conference on Communications Workshops (ICC Workshops), Denver, CO, USA

The rapid adoption of Internet of Things (IoT) services and the increasingly stringent dependability and performance requirements are transforming next-generation wireless network management towards zero-touch 6G networks. Zero-touch management is al... Read More about An Intelligent Digital Twin Model for Attack Detection in Zero-Touch 6G Networks.

What-if Analysis Framework for Digital Twins in 6G Wireless Network Management (2024)
Presentation / Conference Contribution
Ak, E., Canberk, B., Sharma, V., Dobre, O. A., & Duong, T. Q. (2024, May). What-if Analysis Framework for Digital Twins in 6G Wireless Network Management. Presented at The 20th International Wireless Communications & Mobile Computing Conference (IWCMC 2024), Ayia Napa, Cyprus

This study explores implementing a digital twin network (DTN) for efficient 6G wireless network management, aligning with the fault, configuration, accounting, performance, and security (FCAPS) model. The DTN architecture comprises the Physical Twin... Read More about What-if Analysis Framework for Digital Twins in 6G Wireless Network Management.

X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System (2024)
Presentation / Conference Contribution
Kaya, K., Ak, E., Bas, S., Canberk, B., & Gunduz Oguducu, S. (2024, June). X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System. Presented at ICC 2024 - IEEE International Conference on Communications, Denver, Colorado

The effectiveness of Intrusion Detection Systems (IDS) is critical in an era where cyber threats are becoming increasingly complex. Machine learning (ML) and deep learning (DL) models provide an efficient and accurate solution for identifying attacks... Read More about X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System.

Cyber-Twin: Digital Twin-Boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks (2024)
Presentation / Conference Contribution
Yigit, Y., Panitsas, I., Maglaras, L., Tassiulas, L., & Canberk, B. (2024, June). Cyber-Twin: Digital Twin-Boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks. Presented at ICC 2024 - IEEE International Conference on Communications, Denver, CO, USA

The rapid evolution of Vehicular Ad-hoc NETworks (VANETs) has ushered in a transformative era for intelligent transportation systems (ITS), significantly enhancing road safety and vehicular communication. However, the intricate and dynamic nature of... Read More about Cyber-Twin: Digital Twin-Boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks.

Digital- Twin Enabled Dairy Farming for Greenhouse Gas Emission Tracking (2024)
Presentation / Conference Contribution
Ak, E., Huseynov, K., Canberk, B., Fahim, M., Dobre, O. A., & Duong, T. Q. (2023, December). Digital- Twin Enabled Dairy Farming for Greenhouse Gas Emission Tracking. Presented at 2023 31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS), Letterkenny, Ireland

The dairy farming industry plays a pivotal role in the agricultural sector. However, its environmental footprint, especially methane and nitrous oxide emissions, has raised concerns. Historically, the industry has relied on conventional methods to fo... Read More about Digital- Twin Enabled Dairy Farming for Greenhouse Gas Emission Tracking.

Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas? (2024)
Presentation / Conference Contribution
Al-Shareeda, S., Oktug, S. F., Yaslan, Y., Yurdakul, G., & Canberk, B. (2024, January). Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas?. Presented at 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA

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 comprises two phases. In Phase I, we utilize traffic data and AI clus... Read More about Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas?.

Dynamic Packet Content Construction and Processing for End-to-End Streaming in 6G (2023)
Presentation / Conference Contribution
Clayman, S., Karakış, E., Tüker, M., Ak, E., Canberk, B., & Sayıt, M. (2023, November). Dynamic Packet Content Construction and Processing for End-to-End Streaming in 6G. Presented at 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh, United Kingdom

In the context of 6G, the use of drones / UAVs and satellite is a high priority. One of the main issues is that there is limited and varying bandwidth in these environments, so the question arises: how do we provide high Quality of Experience (QoE) t... Read More about Dynamic Packet Content Construction and Processing for End-to-End Streaming in 6G.

A distributed user-oriented IoT-based Air Pollution Monitoring (2023)
Presentation / Conference Contribution
Jorge, J., Figueroa, F., Shen, H., Ahmadi, H., & Canberk, B. (2023, November). A distributed user-oriented IoT-based Air Pollution Monitoring. Presented at 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh, United Kingdom

Environmental health services are paramount for ensuring the Quality of Life (QoL) in cities, with urban design playing a pivotal role. The rapid urbanization of cities globally has exacerbated air pollution, posing severe health risks to residents.... Read More about A distributed user-oriented IoT-based Air Pollution Monitoring.

Digital Twin-Native AI-Driven Service Architecture for Industrial Networks (2023)
Presentation / Conference Contribution
Duran, K., Broadbent, M., Yurdakul, G., & Canberk, B. (2023, December). Digital Twin-Native AI-Driven Service Architecture for Industrial Networks. Presented at 2023 IEEE Globecom Workshops (GC Wkshps), Kuala Lumpur, Malaysia

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, such as accurate monitoring and learning capabilities , Digital Twin (DT)... Read More about Digital Twin-Native AI-Driven Service Architecture for Industrial Networks.