activity
20192026
most citedRobust and Fast Automatic Modulation Classification with CNN under Multipath Fading Channels

165 citations · 281 across the 10 of their papers we have counts for

collaborators

12 papers

eess.SP2026

AI-Enabled Wireless Propagation Modeling and Radio Environment Maps for 5G Aerial Wireless Networks

Gautham Reddy, Kürşat Tekbıyık, Bryton Petersen +3

With the gaining prominence of aerial mobility applications, their success depends on the seamless integration of terrestrial and non-terrestrial network connectivity. However, pro…

cs.LG2025

PIKAN: Physics-Inspired Kolmogorov-Arnold Networks for Explainable UAV Channel Modelling

Kürşat Tekbıyık, Güneş Karabulut Kurt, Antoine Lesage-Landry

Unmanned aerial vehicle (UAV) communications demand accurate yet interpretable air-to-ground (A2G) channel models that can adapt to nonstationary propagation environments. While de…

cs.LG2024

Federated Learning for UAV-Based Spectrum Sensing: Enhancing Accuracy Through SNR-Weighted Model Aggregation

Kürşat Tekbıyık, Güneş Karabulut Kurt, Antoine Lesage-Landry

The increasing demand for data usage in wireless communications requires using wider bands in the spectrum, especially for backhaul links. Yet, allocations in the spectrum for non-…

eess.SP2021★ 2 cited

Wireless Power Transmission on Martian Surface for Zero-Energy Devices

Kürşat Tekbıyık, Dogay Altinel, Mustafa Cansiz +1

Exploration of the Red Planet is essential on the way through both human colonization and establishing a habitat on the planet. Due to the high costs of space missions, the use of…

eess.SP2021

Graph Attention Network Based Single-Pixel Compressive Direction of Arrival Estimation

Kürşat Tekbıyık, Okan Yurduseven, Güneş Karabulut Kurt

In this paper, we present a single-pixel compressive direction of arrival (DoA) estimation technique leveraging a graph attention network (GAT)-based deep-learning framework. The p…

cs.IT2021★ 5 cited

Energy-Efficient RIS-Assisted Satellites for IoT Networks

Kürşat Tekbıyık, Güneş Karabulut Kurt, Halim Yanikomeroglu

The use of satellites to provide ubiquitous coverage and connectivity for densely deployed Internet of Things (IoT) networks is expected to be a reality in emerging 6G networks. Ye…

cs.IT2020★ 8 cited

Reconfigurable Intelligent Surfaces in Action for Non-Terrestrial Networks

Kürşat Tekbıyık, Güneş Karabulut Kurt, Ali Rıza Ekti +1

Next-generation communication technology will be made possible by cooperation between terrestrial networks with non-terrestrial networks (NTN) comprised of high-altitude platform s…

cs.IT2020★ 8 cited

Channel Estimation for Full-Duplex RIS-assisted HAPS Backhauling with Graph Attention Networks

Kürşat Tekbıyık, Güneş Karabulut Kurt, Chongwen Huang +2

In this paper, graph attention network (GAT) is firstly utilized for the channel estimation. In accordance with the 6G expectations, we consider a high-altitude platform station (H…

cs.IT2020★ 90 cited

Reconfigurable Intelligent Surfaces Empowered THz Communication in LEO Satellite Networks

Kürşat Tekbıyık, Güneş Karabulut Kurt, Ali Rıza Ekti +1

The revolution in the low Earth orbit (LEO) satellite networks will bring changes on their communication models and a shift from the classical bent-pipe architectures to more sophi…

cs.IT2020★ 3 cited

A Holistic Investigation on Terahertz Propagation and Channel Modeling Toward Vertical Heterogeneous Networks

Kürşat Tekbıyık, Ali Rıza Ekti, Güneş Karabulut Kurt +2

User-centric and low latency communications can be enabled not only by small cells but also through ubiquitous connectivity. Recently, the vertical heterogeneous network (V-HetNet)…

eess.SP2020

Spectrum Sensing and Signal Identification with Deep Learning based on Spectral Correlation Function

Kürşat Tekbıyık, Özkan Akbunar, Ali Rıza Ekti +3

Spectrum sensing is one of the means of utilizing the scarce source of wireless spectrum efficiently. In this paper, a convolutional neural network (CNN) model employing spectral c…

cs.LG2019★ 165 cited

Robust and Fast Automatic Modulation Classification with CNN under Multipath Fading Channels

Kürşat Tekbıyık, Ali Rıza Ekti, Ali Görçin +2

Automatic modulation classification (AMC) has been studied for more than a quarter of a century; however, it has been difficult to design a classifier that operates successfully un…