no code implementations • 1 Apr 2021 • Kürşat Tekbıyık, Güneş Karabulut Kurt, Ali Rıza Ekti, Halim Yanikomeroglu
Moreover, bit error rate performance is investigated for RIS designs with discrete and non-uniform phase shifts under channel estimation based on the proposed method.
no code implementations • 2 Dec 2020 • Kürşat Tekbıyık, Güneş Karabulut Kurt, Ali Rıza Ekti, Halim Yanikomeroglu
Next-generation communication technology will be made possible by cooperation between terrestrial networks with non-terrestrial networks (NTN) comprised of high-altitude platform stations and satellites.
no code implementations • 22 Oct 2020 • Kürşat Tekbıyık, Güneş Karabulut Kurt, Chongwen Huang, Ali Rıza Ekti, Halim Yanikomeroglu
In this paper, graph attention network (GAT) is firstly utilized for the channel estimation.
no code implementations • 8 Jul 2020 • Kürşat Tekbıyık, Güneş Karabulut Kurt, Ali Rıza Ekti, Ali Görçin, Halim Yanikomeroglu
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 sophisticated networking platforms.
Information Theory Signal Processing Information Theory
no code implementations • 17 Mar 2020 • Kürşat Tekbıyık, Özkan Akbunar, Ali Rıza Ekti, Ali Görçin, Güneş Karabulut Kurt, Khalid A. Qaraqe
Spectrum sensing is one of the means of utilizing the scarce source of wireless spectrum efficiently.
no code implementations • 22 Dec 2019 • Kürşat Tekbıyık, Ali Rıza Ekti, Güneş Karabulut Kurt, Ali Görçin, Serhan Yarkan
First, maximum likelihood estimation (MLE) is applied to characterize the Gamma mixture model parameters, and then EM algorithm is used to compute MLEs of the unknown parameters of the measurement data.
no code implementations • 12 Nov 2019 • Kürşat Tekbıyık, Ali Rıza Ekti, Ali Görçin, Güneş Karabulut Kurt, Cihat Keçeci
The proposed classifier is robust against realistic wireless channel impairments and in relation to that when the data sets that are utilized for testing and evaluating the proposed methods are considered, it is seen that RadioML2016. 10a is the main dataset utilized for testing and evaluation of the proposed methods.