Yazar "Ekti, Ali Rıza" için listeleme
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Accurate modelling of reconfigurable intelligent surfaces in THz band
Çelebi, Burak Ahmet; Aras, İrem; Özçelik, Kaan Emre; Tekbıyık Kürşat; Kurt, Güneş; Özdemir, Özgür; Ekti, Ali Rıza (IEEE, 2021)Terahertz (THz) haberle¸smesi yeni nesil haberle¸sme agları için kullanılabilecek önemli bir teknoloji olarak ˘ dü¸sünülmektedir. THz dalgaları yapısı geregi çok fazla sönümlen- ˘ meye ugradı ˘ gından do ˘ grudan görü¸s ... -
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 ... -
Detection, identification, and direction of arrival estimation of drone fhss signals with uniform linear antenna array
Kaplan, Batuhan; Kahraman, İbrahim; Ekti, Ali Rıza; Yarkan, Serhan; Görçin, Ali; Özdemir, Mehmet Kemal; Çırpan, Hakan Ali (IEEE-Inst Electrical Electronics Engineers Inc, 2021)Safety, security, and privacy are three critical concerns affiliated with the use of drones in everyday life. Considering their ever-shrinking sizes and capabilities, being aware of drone activities in the vicinity becomes ... -
Ecebuntu - an innovative and multi-purpose educational operating system for electrical and computer engineering undergraduate courses
Wajid, Bilal; Ekti, Ali Rıza; AlShawaqfeh, Mustafa Kamal (Istanbul Univ, 2018)ECEbuntu is a free, easily distributable, customized operating system based on Ubuntu 12.04 long term support (LTS) designed for electrical/electronic and computer engineering (ECE) students. ECEbuntu is aimed at universities ... -
Exploiting machine learning applications for smart grids
Günel, Kadir; Ekti, Ali Rıza (IEEE, 2019)Machine learning methods are promising candidate to analyze and to extract features for designing Industry 4.0 based modern industrial systems which now generates huge amount of data. This data cannot he processed with ... -
Exploring deep learning for adaptive energy detection threshold determination: A multistage approach
Bedir, Oğuz; Ekti, Ali Rıza; Özdemir, Mehmet Kemal (MDPI, 2023)The concept of spectrum sensing has emerged as a fundamental solution to address the growing demand for accessing the limited resources of wireless communications networks. This paper introduces a straightforward yet ... -
Fuzzy logic approach for layered architecture cognitive radio systems
Ekti, Ali Rıza (Springer, 2019)Cross layer design seems to be one of the most fundamental characteristics of next generation wireless networks and cognitive networks. Traditional layered architecture still exists and seems to be present in different ... -
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 ... -
Intracell interference characterization and cluster interference for D2D communication
Mustafa, Hafiz Attaul; Ekti, Ali Rıza; Shakir, Muhammad Zeeshan; Imran, Muhammad Ali; Tafazolli, Rahim (IEEE, 2018)The homogeneous spatial Poisson point process (SPPP) is widely used for spatial modeling of mobile terminals (MTs). This process is characterized by a homogeneous distribution, complete spatial independence, and constant ... -
Measurement based direction of arrival estimation for frequency hopping signals
Kaplan, Batuhan; Kahraman, İbrahim; Ekti, Ali Rıza; Yarkan, Serhan; Çırpan, Hakan Ali (IEEE, 2020)In this paper, the problem of measurement-based angle of arrival estimation for frequency hopping signals is discussed. While the angle of arrival estimation is important information for many subjects, obtaining the angle ... -
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, ... -
Monitoring, surveillance, and management of the electromagnetic spectrum: current issues in electromagnetic spectrum monitoring
Boyacı, Ali; Ekti, Ali Rıza; Yarkan, Serhan; Aydın, Muhammed Ali (Istanbul Univ, 2018)This paper discusses the current aspects of the surveillance and management of the electromagnetic spectrum under various topics that are vital to wireless communications. On the basis of the recent technological advancements ... -
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 ... -
Music of metagenomics-a review of its applications, analysis pipeline, and associated tools
Wajid, Bilal; Anwar, Faria; Wajid, Imran; Nisar, Haseeb; Meraj, Sharoze; Zafar, Ali; Al-Shawaqfeh, Mustafa Kamal; Ekti, Ali Rıza (Springer Heidelberg, 2021)This humble effort highlights the intricate details of metagenomics in a simple, poetic, and rhythmic way. The paper enforces the significance of the research area, provides details about major analytical methods, examines ... -
On the investigation of bandwidth allocation for short-range and long-range heterogeneous wireless networks
Kazdağ, Can; Alaca, Özgür; Ekti, Ali Rıza; Yarkan, Serhan (IEEE, 2019)It is clear that heterogeneous wireless network (HetNet) will be an essential deployment mode of next generation wireless networks. There are various HetNet layouts present in the literature such as coexistences of mid-range ... -
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 ... -
Random number generator based on RF spectrum sensing: energy detector and spectral correlation function approach
Ekti, Ali Rıza (Balıkesir Üniversitesi, 2020)Wireless communication is open and more vulnerable against to authorized and unauthorized users due to the broadcasting nature of wireless radio propagation in contrast to wired networks where two devices connected to ... -
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 ...
