3 citations · 3 across the 2 of their papers we have counts for
5 papers
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…
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…
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…
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)…
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…