165 citations · 319 across the 10 of their papers we have counts for
12 papers
Graph Attention Networks for Channel Estimation in RIS-assisted Satellite IoT Communications
Kürşat Tekbıyık, Güneş Karabulut Kurt, Ali Rıza Ekti +1
Direct-to-satellite (DtS) communication has gained importance recently to support globally connected Internet of things (IoT) networks. However, relatively long distances of densel…
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…
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…
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…
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)…
Measurement based FHSS-type Drone Controller Detection at 2.4GHz: An STFT Approach
Batuhan Kaplan, İbrahim Kahraman, Ali Görçin +2
The applications of the unmanned aerial vehicles (UAVs) increase rapidly in everyday life, thus detecting the UAVs and/or its pilot is a crucial task. Many UAVs adopt frequency hop…
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…
Measurement Based Statistical Channel Characterization of Air-to-Ground Path Loss Model at 446 MHz for Narrow-Band Signals in Low Altitude UAVs
Burak Ede, Serhan Yarkan, Ali Rıza Ekti +3
Powered by the advances in microelectronics technologies, unmanned aerial vehicles (UAVs) provide a vast variety of services ranging from surveillance to delivery in both military…
Modeling and Analysis of sub-Terahertz Communication Channel via Mixture of Gamma Distribution
Kürşat Tekbıyık, Ali Rıza Ekti, Güneş Karabulut Kurt +2
With the recent developments on opening the terahertz (THz) spectrum for experimental purposes by the Federal Communications Commission, transceivers operating in the range of 0.1T…
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…
Statistical Modeling of Propagation Channels for Terahertz Band
Ali Rıza Ekti, Ali Boyacı, Altan Alparslan +5
Digital revolution and recent advances in telecommunications technology enable to design communication systems which operate within the regions close to the theoretical capacity li…
Intracell Interference Characterization and Cluster Inference for D2D Communication
Hafiz Attaul Mustafa, Muhammad Zeeshan Shakir, Ali Riza Ekti +2
The homogeneous poisson point process (PPP) is widely used to model temporal, spatial or both topologies of base stations (BSs) and mobile terminals (MTs). However, negative spatia…