Browsing by Author "Tekbıyık, Kürşat"
Now showing items 1-8 of 8
-
Channel estimation for full-duplex RIS-assisted HAPS backhauling with graph attention networks
Tekbıyık, Kürşat; Kurt, Güneş Karabulut; Huang, Chongwen; Ekti, Ali Rıza; Yanıkömeroğlu, Halim (IEEE, 2021)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 (HAPS) mounted reconfigurable intelligent ... -
A holistic investigation of terahertz propagation and channel modeling toward vertical heterogeneous networks
Tekbıyık, Kürşat; Ekti, Ali Rıza; Kurt, Güneş Karabulut; Görçin, Ali; Yanıkömeroğlu, Halim (IEEE-Inst Electrical Electronics Engineers Inc, 2020)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) architecture has been proposed to ... -
Measurement based LOS/NLOS signal detection for terahertz communication: Energy detector approach
Tekbıyık, Kürşat; Tokgöz, Gamze Kırman; Ekti, Ali Rıza; Yarkan, Serhan; Kurt, Güneş Karabulut (IEEE, 2020)Spectrum detection is one of the most important tasks that can lead to adaptive transceiver design for new generation intelligent wireless systems. In particular, the detection of LOS and NLOS signals is of great importance ... -
Modeling and analysis of short distance sub-terahertz communication channel via mixture of gamma distribution
Tekbıyık, Kürşat; Ekti, Ali Rıza; Kurt, Güneş Karabulut; Görçin, Ali; Yarkan, Serhan (IEEE-Inst Electrical Electronics Engineers Inc, 2021)With the recent developments on opening the terahertz (THz) spectrum for experimental purposes by the Federal Communications Commission, transceivers operating in the range of 0.1THz-10THz, which are known as THz bands, ... -
Multi-dimensional wireless signal identification based on support vector machines
Tekbıyık, Kürşat; Akbunar, Özkan; Ekti, Ali Rıza; Görçin, Ali; Kurt, Güneş Karabulut (Ieee-Inst Electrical Electronics Engineers Inc, 2019)Radio air interface identification provides necessary information for dynamically and efficiently exploiting the wireless radio frequency spectrum. In this study, a general machine learning framework is proposed for Global ... -
On the investigation of wireless signal identification using spectral correlation function and SVMs
Tekbıyık, Kürşat; Akbunar, Özkan; Ekti, Ali Rıza; Kurt, Güneş Karabulut; Görçin, Ali (IEEE, 2019)Signal identification is an important notion that leads to significant performance improvements for adaptive wireless spectrum access techniques. Besides identifying the modulation types and other features, standard-based ... -
Spectrum sensing and signal identification with deep learning based on spectral correlation function
Tekbıyık, Kürşat; Akbunar, Özkan; Ekti, Ali Rıza; Görçin, Ali; Kurt, Güneş Karabulut; Qaraqe, Khalid A. (IEEE-Inst Electrical Electronics Engineers Inc, 2021)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 correlation function (SCF) which is an ... -
Terahertz band communication systems: Challenges, novelties and standardization efforts
Tekbıyık, Kürşat; Ekti, Ali Rıza; Kurt, Güneş Karabulut; Görçin, Ali (Elsevier, 2019)Wireless data rates are expected to be around 10Gbps or even more within the upcoming decade. The realization of such high data rates is unlikely with the currently licensed bands in the spectrum. Therefore, it is clear ...
