activity
20162020
most citedA Holistic Investigation on Terahertz Propagation and Channel Modeling Toward Vertical Heterogeneous Networks

3 citations · 3 across the 1 of their papers we have counts for

collaborators

8 papers

cs.IT2020

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.IT20203 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

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…

eess.SP2019

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…

eess.SP2019

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…

cs.LG2019

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…