Search Results for author: Güneş Karabulut Kurt

Found 19 papers, 1 papers with code

Measurement-Based Modeling of Short Range Terahertz Channels and Their Capacity Analysis

no code implementations14 Jun 2023 Erhan Karakoca, Hasan Nayir, Güneş Karabulut Kurt, Ali Görçin

Also, to demonstrate the flexibility of the GMM, the Dirichlet process Gamma mixture model (DPGMM) is utilized in cases where the EM algorithm fails to represent histograms.

Experimental Assessment of Misalignment Effects in Terahertz Communications

no code implementations23 May 2023 Hasan Nayir, Erhan Karakoca, Güneş Karabulut Kurt, Ali Görçin

Terahertz (THz) frequencies are important for next generation wireless systems due to the advantages in terms of large available bandwidths.

Multi-State Inter-Satellite Channel Models

no code implementations12 May 2023 Eray Güven, Olfa Ben Yahia, Güneş Karabulut Kurt

The advancement in satellite networks (SatNets) offers vast opportunities for large-scale connectivity and flexibility.

CNN-aided Channel and Carrier Frequency Offset Estimation for HAPS-LEO Links

no code implementations26 Jun 2022 Eray Güven, Güneş Karabulut Kurt

Low Earth orbit (LEO) satellite mega-constellation networks aim to address the high connectivity demands with a projected 50, 000 satellites in less than a decade.


A Novel LFM Waveform for Terahertz-Band Joint Radar and Communications over Inter-Satellite Links

no code implementations24 May 2022 Gizem Sümen, Güneş Karabulut Kurt, Ali Görçin

There is no doubt that we need to keep our eyes on the sky as satellite networks aim to address the demands of 6G and beyond communications systems.

Wireless Power Transmission on Martian Surface for Zero-Energy Devices

no code implementations3 Dec 2021 Kürşat Tekbıyık, Dogay Altinel, Mustafa Cansiz, Güneş Karabulut Kurt

Exploration of the Red Planet is essential on the way through both human colonization and establishing a habitat on the planet.

Graph Attention Network Based Single-Pixel Compressive Direction of Arrival Estimation

no code implementations12 Sep 2021 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.

Direction of Arrival Estimation Graph Attention

Harmonic Retrieval of CFO and Frame Misalignment for OFDM-based Inter-Satellite Links

no code implementations13 Aug 2021 Rıfat Volkan Şenyuva, Güneş Karabulut Kurt

As dense low Earth orbit (LEO) constellations are being planned, the need for accurate synchronization schemes in high-speed environments remains a challenging problem to tackle.


Graph Attention Networks for Channel Estimation in RIS-assisted Satellite IoT Communications

no code implementations1 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.

Graph Attention

Relay Selection with Imperfect SIC for FD/HD NOMA Cooperative Networks over Nakagami-$m$ Fades

no code implementations23 Mar 2021 Efendi Fidan, Eray Güven, Mehmet Akif Durmaz, Güneş Karabulut Kurt, Oğuz Kucur

Two relay selection (RS) strategies, selecting a relay to maximize data rate of user 1 at selected relay and selecting a relay out of a set of relays providing service quality for user 1 to maximize data rate of user 2, are analyzed.

Energy-Efficient RIS-Assisted Satellites for IoT Networks

no code implementations18 Jan 2021 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.

Information Theory Information Theory

An Adaptive Multi-Agent Physical Layer Security Framework for Cognitive Cyber-Physical Systems

no code implementations7 Jan 2021 Mehmet Özgün Demir, Ozan Alp Topal, Ali Emre Pusane, Guido Dartmann, Gerd Ascheid, Güneş Karabulut Kurt

With the advancement of the machine learning algorithms, the transmission scheme providing the best performance can be utilized to sustain a reliable network of CCPS agents equipped with self-decision mechanisms, where the interactions between each agent are modeled in terms of service quality, security, and cost dimensions.

Reinforcement Learning (RL)

Reconfigurable Intelligent Surfaces in Action for Non-Terrestrial Networks

no code implementations2 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.

Reconfigurable Intelligent Surfaces Empowered THz Communication in LEO Satellite Networks

no code implementations8 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

Modeling and Analysis of sub-Terahertz Communication Channel via Mixture of Gamma Distribution

no code implementations22 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.

Robust and Fast Automatic Modulation Classification with CNN under Multipath Fading Channels

no code implementations12 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.

General Classification

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