- Advanced MIMO Systems Optimization
- Wireless Signal Modulation Classification
- Speech and Audio Processing
- Millimeter-Wave Propagation and Modeling
- Cognitive Radio Networks and Spectrum Sensing
- Advanced Wireless Communication Technologies
- Speech Recognition and Synthesis
- Cooperative Communication and Network Coding
- Advanced Wireless Network Optimization
- Satellite Communication Systems
- Smart Grid Security and Resilience
- Molecular Communication and Nanonetworks
- IoT Networks and Protocols
- Radio Wave Propagation Studies
- Autonomous Vehicle Technology and Safety
- Power Systems Fault Detection
- Power System Optimization and Stability
- Radar Systems and Signal Processing
- UAV Applications and Optimization
- Advanced Adaptive Filtering Techniques
- Wireless Communication Networks Research
- Opportunistic and Delay-Tolerant Networks
- Wireless Networks and Protocols
- Blind Source Separation Techniques
- Wireless Body Area Networks
Oak Ridge National Laboratory
2022-2025
Balıkesir University
2018-2023
Scientific and Technological Research Council of Turkey
2020-2021
TUBITAK BILGEM
2017-2021
Texas A&M University
2011-2020
Bahçeşehir University
2017
Gannon University
2015-2016
Texas A&M University at Qatar
2012
Digital revolution and recent advances in telecommunications technology enable to design communication systems which operate within the regions close theoretical capacity limits. Ever-increasing demand for wireless communications emerging numerous high-capacity services applications mandate providers employ more bandwidth-oriented solutions meet requirements. Trend predictions point out that marketplace targets data rates around 10Gbps or even upcoming decade. It is clear such could only be...
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 backhaul/fronthaul a large number of cells. Like an orchestra, V-HetNet is polyphony different communication ensembles, including geostationary Earth orbit low satellites (e.g., CubeSats), networked flying platforms along with terrestrial links. In this study, we propose terahertz...
Spectrum sensing is one of the means utilizing scarce source wireless spectrum efficiently. In this paper, a convolutional neural network (CNN) model employing spectral correlation function (SCF) which an effective characterization cyclostationarity property, proposed for and signal identification. The method classifies signals without priori information it implemented in two different settings entitled <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML"...
The revolution in the low Earth orbit (LEO) satellite networks will bring changes on their communication models and a shift from classical bent-pipe architectures to more sophisticated networking platforms. Thanks technological advancements microelectronics micro-systems, terahertz (THz) band has emerged as strong candidate for inter-satellite links (ISLs) due its promise of high data rates. Yet, propagation conditions THz need be properly modeled controlled by utilizing reconfigurable...
With the recent developments on opening terahertz (THz) spectrum for experimental purposes by Federal Communications Commission, transceivers operating in range of 0.1THz-10THz, which are known as THz bands, will enable ultra-high throughput wireless communications. However, actual implementation high-speed and high-reliability band communication systems should start with providing extensive knowledge regards to propagation channel characteristics. Considering huge bandwidth rapid changes...
Commercialization of autonomous vehicle technology is a major goal the automotive industry, thus research in this space rapidly expanding across world. However, despite high level activity, literature detailing straightforward and cost-effective approach to development an AV platform sparse. To address need, we present methodology results regarding instrumentation controls 2019 Kia Niro which was developed for local pilot program. This includes drive-by-wire actuation kit, Aptiv...
Advancements in driving automation systems such as Lane Keeping Assist has shown improvements safety by reducing traffic accidents. Nonetheless, despite the promise of these technologies, some studies have statistical data that a poor resilient operation. Therefore, there is need to design more robust and Advanced Driver Assistance Systems (ADAS) while broadening their operational domain. This study proposes set non-functional system level requirements informed applying Resilience...
Next-generation communication technology will be made possible by cooperation between terrestrial networks with non-terrestrial (NTN) comprised of high-altitude platform stations and satellites. Further, as humanity embarks on the long road to establish new habitats other planets, NTN deep-space (DSN) necessary. In this regard, we propose use reconfigurable intelligent surfaces (RIS) improve coordination these given that RIS perfectly match size, weight, power restrictions operating in...
In this paper, graph attention network (GAT) is firstly utilized for the channel estimation. accordance with 6G expectations, we consider a high-altitude platform station (HAPS) mounted reconfigurable intelligent surface-assisted two-way communications and obtain low overhead high normalized mean square error performance. The performance of proposed method investigated on backhauling link over RIS-integrated HAPS. simulation results denote that GAT estimator overperforms least in full-duplex...
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 Global System Mobile communications (GSM), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE) signal by utilizing outputs of spectral correlation function (SCF), fast Fourier Transform (FFT), auto-correlation (ACF), power density (PSD) as training inputs...
Automatic modulation classification (AMC) has been studied for more than a quarter of century; however, it difficult to design classifier that operates successfully under changing multipath fading conditions and other impairments. Recently, deep learning (DL)-based methods are adopted by AMC systems major improvements reported. In this paper, novel convolutional neural network (CNN) model is proposed classify classes in terms their families, i.e., types. The robust against realistic wireless...
The applications of the unmanned aerial vehicles (UAVs) increase rapidly in everyday life, thus detecting UAVs and/or its pilot is a crucial task. Many adopt frequency hopping spread spectrum (FHSS) technology to efficiently and securely communicate with their radio controllers (RCs) where signal follows pattern prevent harmful interference. In order realistically distinguish (FH) RC signals, one should consider real-world propagation environment since many RCs from far distance which faces...
In this paper, the problem of joint data-rate allocation and mobile terminal (MT) assignment is investigated in a heterogeneous wireless network (HetNet) environment that consists local area (WLAN) access points (APs) cellular base stations (BSs) for best-effort service. MTs are equipped with multiple radio interfaces have multihoming capabilities. As result, can connect simultaneously to more than one (e.g., BS WLAN AP) aggregate offered bandwidths from these networks support applications...
The identification of spectrum opportunities is a pivotal requirement for efficient utilization in cognitive radio systems. Spectrum prediction offers convenient means revealing such based on the previously obtained occupancies. As occupancy states are correlated over time, often cast as predictable time-series process using classical or deep learning-based models. However, this variety methods exploits time-domain correlation and overlooks existing frequency. In paper, differently from...
<div class="section abstract"><div class="htmlview paragraph">Accurate perception of the driving environment and a highly accurate position vehicle are paramount to safe Autonomous Vehicle (AV) operation. AVs gather data about using various sensors. For robust localization system, incoming from multiple sensors is usually fused together advanced computational algorithms, which historically requires high-compute load. To reduce AV compute load its negative effects on energy...
This study proposes a novel method for signal detection and feature extraction based on the spectral correlation function, enabling improved characterization of grid-signal distortions. Our approach differs from existing treatments distortion in its analysis varied content signals observed real-world scenarios. The we propose has state-of-the-art discriminative power that provides meaningful understandable characterizations various grid events anomalies. To validate approach, use real world...
Underutilized spectrum constitutes a major concern in wireless communications especially the presence of legacy systems and prolific need for high-capacity applications as well consumer expectations. From this perspective, Terahertz frequencies provide new paradigm shift since they have been left unexplored until recently. Such vast frequency region extending all way up to visible light beyond points out significant opportunities from dramatic data rates on order tens Gbps variety inherent...
The revolution in the low Earth orbit (LEO) satellite networks will bring changes on their communication models and a shift from classical bent-pipe architectures to more sophisticated networking platforms. Thanks technological advancements microelectronics micro-systems, terahertz (THz) band has emerged as strong candidate for inter-satellite links (ISLs) due its promise of high data rates. Yet, propagation conditions THz need be properly modeled controlled by utilizing reconfigurable...
Safety, security, and privacy are three critical concerns affiliated with the use of drones in everyday life. Considering their ever-shrinking sizes capabilities, being aware drone activities vicinity becomes an important surveillance item. Therefore, keeping track preferably controllers should be included into already-existing security measures. In this study, a frequency hopping spread spectrum (FHSS) type controller signal detection emitter direction finding framework is proposed to...
<div class="section abstract"><div class="htmlview paragraph">Traditional autonomous vehicle perception subsystems that use onboard sensors have the drawbacks of high computational load and data duplication. Infrastructure-based sensors, which can provide quality information without burden duplication, are an alternative to traditional subsystems. However, these technologies still in early stages development not been extensively evaluated for lane detection system performance....
<div class="section abstract"><div class="htmlview paragraph">Lane detection plays a critical role in autonomous vehicles for safe and reliable navigation. Lane is traditionally accomplished using camera sensor computer vision processing. The downside of this traditional technique that it can be computationally intensive when high quality images at fast frame rate are used has reliability issues from occlusion such as, glare, shadows, active road construction, more. This study...