20 citations · 42 across the 31 of their papers we have counts for
31 papers
Modular Multi-Domain Digital Twin Architecture: Sustainable Intent-Driven 6G Management
Berk Buzcu, Marcin Pakula, Gevher Yesevi Keskin +10
Future 6G networks will operate across distributed and heterogeneous domain infrastructures, making conventional single-domain management insufficient for proactive, trustworthy au…
Tokalator: A Context Engineering Toolkit for Artificial Intelligence Coding Assistants
Vahid Farajijobehdar, İlknur Köseoğlu Sarı, Nazım Kemal Üre +1
Artificial Intelligence (AI)-assisted coding environments operate within finite context windows of 128,000-1,000,000 tokens (as of early 2026), yet existing tools offer limited sup…
SEAL: An Open, Auditable, and Fair Data Generation Framework for AI-Native 6G Networks
Sunder Ali Khowaja, Kapal Dev, Engin Zeydan +1
AI-native 6G networks promise to transform the telecom industry by enabling dynamic resource allocation, predictive maintenance, and ultra-reliable low-latency communications acros…
A Primer on Kolmogorov-Arnold Networks (KANs) for Probabilistic Time Series Forecasting
Cristian J. Vaca-Rubio, Roberto Pereira, Luis Blanco +2
This work introduces Probabilistic Kolmogorov-Arnold Network (P-KAN), a novel probabilistic extension of Kolmogorov-Arnold Networks (KANs) for time series forecasting. By replacing…
Analysis of Post-Quantum Cryptography in User Equipment in 5G and Beyond
Sanzida Hoque, Abdullah Aydeger, Engin Zeydan +1
The advent of quantum computing threatens the security of classical public-key cryptographic systems, prompting the transition to post-quantum cryptography (PQC). While PQC has bee…
On-Demand HAPS-Assisted Communication System for Public Safety in Emergency and Disaster Response
Bilal Karaman, Ilhan Baştürk, Ferdi Kara +5
Natural disasters often disrupt communication networks and severely hamper emergency response and disaster management. Existing solutions, such as portable communication units and…
On the Architectural Split and Radio Intelligence Controller Placement in Integrated O-RAN-enabled Non-Terrestrial Networks
Jorge Baranda, Marius Caus, Luis Blanco +5
The integration of Terrestrial Networks (TNs) with Non-Terrestrial Networks (NTNs) poses unique architectural and functional challenges due to heterogeneous propagation conditions,…
Quantum-Resistant Domain Name System: A Comprehensive System-Level Study
Juyoul Lee, Sanzida Hoque, Abdullah Aydeger +1
The Domain Name System (DNS) plays a foundational role in Internet infrastructure, yet its core protocols remain vulnerable to compromise by quantum adversaries. As cryptographical…
Quantum Technologies for Beyond 5G and 6G Networks: Applications, Opportunities, and Challenges
Engin Zeydan, Chamitha De Alwis, Rabia Khan +4
As the world prepares for the advent of 6G networks, quantum technologies are becoming critical enablers of the next generation of communication systems. This survey paper investig…
Blockchain for Federated Learning in the Internet of Things: Trustworthy Adaptation, Standards, and the Road Ahead
Farhana Javed, Engin Zeydan, Josep Mangues-Bafalluy +2
As edge computing gains prominence in Internet of Things (IoTs), smart cities, and autonomous systems, the demand for real-time machine intelligence with low latency and model reli…
Probabilistic Forecasting for Network Resource Analysis in Integrated Terrestrial and Non-Terrestrial Networks
Cristian J. Vaca-Rubio, Vaishnavi Kasuluru, Engin Zeydan +4
Efficient resource management is critical for Non-Terrestrial Networks (NTNs) to provide consistent, high-quality service in remote and under-served regions. While traditional sing…
Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction
Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco +3
Non-Terrestrial Networks (NTNs) are becoming a critical component of modern communication infrastructures, especially with the advent of Low Earth Orbit (LEO) satellite systems. Tr…
Integration of Agentic AI with 6G Networks for Mission-Critical Applications: Use-case and Challenges
Sunder Ali Khowaja, Kapal Dev, Muhammad Salman Pathan +2
We are in a transformative era, and advances in Artificial Intelligence (AI), especially the foundational models, are constantly in the news. AI has been an integral part of many a…
Analysis of Robust and Secure DNS Protocols for IoT Devices
Abdullah Aydeger, Sanzida Hoque, Engin Zeydan +1
The DNS (Domain Name System) protocol has been in use since the early days of the Internet. Although DNS as a de facto networking protocol had no security considerations in its ear…
Advanced Architectures Integrated with Agentic AI for Next-Generation Wireless Networks
Kapal Dev, Sunder Ali Khowaja, Keshav Singh +2
This paper investigates a range of cutting-edge technologies and architectural innovations aimed at simplifying network operations, reducing operational expenditure (OpEx), and ena…
MTDNS: Moving Target Defense for Resilient DNS Infrastructure
Abdullah Aydeger, Pei Zhou, Sanzida Hoque +2
One of the most critical components of the Internet that an attacker could exploit is the DNS (Domain Name System) protocol and infrastructure. Researchers have been constantly dev…
Solutions for Sustainable and Resilient Communication Infrastructure in Disaster Relief and Management Scenarios
Bilal Karaman, Ilhan Basturk, Sezai Taskin +6
As natural disasters become more frequent and severe, ensuring a resilient communications infrastructure is of paramount importance for effective disaster response and recovery. Th…
Minimizing Power Consumption under SINR Constraints for Cell-Free Massive MIMO in O-RAN
Vaishnavi Kasuluru, Luis Blanco, Miguel Angel Vazquez +2
This paper deals with the problem of energy consumption minimization in Open RAN cell-free (CF) massive Multiple-Input Multiple-Output (mMIMO) systems under minimum per-user signal…
Post-Quantum Secure UE-to-UE Communications
Sanzida Hoque, Abdullah Aydeger, Engin Zeydan
The rapid development of quantum computing poses a significant threat to the security of current cryptographic systems, including those used in User Equipment (UE) for mobile commu…
Pathway to Secure and Trustworthy ZSM for LLMs: Attacks, Defense, and Opportunities
Sunder Ali Khowaja, Parus Khuwaja, Kapal Dev +2
Recently, large language models (LLMs) have been gaining a lot of interest due to their adaptability and extensibility in emerging applications, including communication networks. I…
On the Impact of PRB Load Uncertainty Forecasting for Sustainable Open RAN
Vaishnavi Kasuluru, Luis Blanco, Cristian J. Vaca-Rubio +1
The transition to sustainable Open Radio Access Network (O-RAN) architectures brings new challenges for resource management, especially in predicting the utilization of Physical Re…
Enhancing Cloud-Native Resource Allocation with Probabilistic Forecasting Techniques in O-RAN
Vaishnavi Kasuluru, Luis Blanco, Engin Zeydan +2
The need for intelligent and efficient resource provisioning for the productive management of resources in real-world scenarios is growing with the evolution of telecommunications…
On the use of Probabilistic Forecasting for Network Analysis in Open RAN
Vaishnavi Kasuluru, Luis Blanco, Engin Zeydan
Unlike other single-point Artificial Intelligence (AI)-based prediction techniques, such as Long-Short Term Memory (LSTM), probabilistic forecasting techniques (e.g., DeepAR and Tr…
F-KANs: Federated Kolmogorov-Arnold Networks
Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco +3
In this paper, we present an innovative federated learning (FL) approach that utilizes Kolmogorov-Arnold Networks (KANs) for classification tasks. By utilizing the adaptive activat…