Georgios A. Kyriakou

Prof. Dr. Georgios A. Kyriakou

Department of Electrical and Computer Engineering, Microwaves Lab, Democritus University of Thrace, Xanthi 67100, Greece

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 October 2018 in IEEE Transactions on Antennas and Propagation
Verified
Journal Article
Closed access
PBPetros I. Bantavis
Petros I. Bantavis
CKChristos I. Kolitsidas
Christos I. Kolitsidas
Tzichat M. EmplioukTzichat M. Empliouk
Tzichat M. Empliouk
MRMarc Le Roy
Marc Le Roy
BJB. Lars G. Jonsson
B. Lars G. Jonsson
Georgios A. KyriakouGeorgios A. Kyriakou
Georgios A. Kyriakou
A wideband switched beam antenna array system operating from 2 to 5 GHz is presented. It is comprised of a 4×1 Vivaldi antenna elements and a 4×4 Butler matrix beamformer driven by a digitally controlled DP4T RF switch. The Butler matrix is implemented on a multilayer structure, using 90° hybrid couplers and 45° phase shifters. For the design of the coupler and phase shifter we propose a unified methodology applied, but not limited, to elliptically shaped geometries. The multilayer realization enables us to avoid microstrip crossing and supports wideband operation of the beamforming network. To realize the Butler matrix we introduce a step by step and stage by stage design methodology that enables accurate balance of the output weights at the antenna ports to achieve stable beamforming performance. In this work we use a Vivaldi antenna element in a linear four element array, since such element supports wideband and wide-scan angle operation. A soft condition in the form of corrugations is implemented around the periphery of the array, in order to reduce the edge effects. This technique improved the gain, the side lobes and helped to obtain back radiation suppression. Finally, impedance loading was also utilized in the two edge elements of the array to improve the active impedance. The proposed system of the Butler matrix in conjunction with the constructed array can be utilized as a common RF front end in a wideband air interface for a small cell 5G application and beyond as it is capable to simultaneously cover all the commercial bands from 2 to 5 GHz.

18 August 2020 in Electronics
Verified
Journal Article
Open access
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DLDimitrios I. Lialios
Dimitrios I. Lialios
NNNikolaos Ntetsikas
Nikolaos Ntetsikas
Konstantinos Dimitrios PaschaloudisKonstantinos Dimitrios Paschaloudis
Konstantinos Dimitrios Paschaloudis
Constantinos ZekiosConstantinos Zekios
Constantinos Zekios
SGStavros Georgakopoulos
Stavros Georgakopoulos
Georgios A. KyriakouGeorgios A. Kyriakou
Georgios A. Kyriakou
Millimeter wave (mm-Wave) technology is likely the key enabler of 5G and early 6G wireless systems. The high throughput, high capacity, and low latency that can be achieved, when mm-Waves are utilized, makes them the most promising backhaul as well as fronthaul solutions for the communication between small cells and base stations or between base stations and the gateway. Depending on the channel properties different communication systems (e.g., beamforming and MIMO) can accordingly offer the best solution. In this work, our goal is to design millimeter wave beamformers for switched beam phased arrays as hybrid beamforming stages. Specifically, three different analog beamforming techniques for the frequency range of 27–33 GHz are presented. First, a novel compact multilayer Blass matrix is proposed. Second, a modified dummy-ports free, highly efficient Rotman lens is introduced. Finally, a three-layer true-time-delay tree topology inspired by microwave photonics is presented.

30 May 2024 in IEEE Open Journal of Circuits and Systems
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Journal Article
Open access
Vassilis AlimisisVassilis Alimisis
Vassilis Alimisis
DADimitrios Arnaoutoglou
Dimitrios Arnaoutoglou
ESEmmanouil Anastasios Serlis
Emmanouil Anastasios Serlis
AKArgyro Kamperi
Argyro Kamperi
KMKonstantinos Metaxas
Konstantinos Metaxas
Paul SotiriadisPaul Sotiriadis
Paul Sotiriadis
A fall-detection system was implemented utilizing a 2.45 GHz continuous wave radar along with power-efficient and fully-analog integrated classifier architectures. The Power Burst Curve and the effective acceleration were derived from the short time Fourier transform, and then processed by the analog classifier. The proposed classifier architectures are based on different approximations of the Decision tree classification model. The architectures consist of three main building blocks: sigmoid function circuit, analog multiplier and an argmax operator circuit. To assess the hardware design, a thorough analysis is performed, comparing it to commonly used analog classifiers while exploiting the extracted data. The architectures were trained using Python and were compared to software-based classifiers. The circuit designs were executed using TSMC’s 90 nm CMOS process technology and the Cadence IC Suite was employed for tasks including design, schematic implementation, and post-layout simulations.

13 August 2024 in Electronics
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Journal Article
Open access
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DADimitrios Arnaoutoglou
Dimitrios Arnaoutoglou
Tzichat M. EmplioukTzichat M. Empliouk
Tzichat M. Empliouk
TKTheodoros N. Kaifas
Theodoros N. Kaifas
Michael ChryssomallisMichael Chryssomallis
Michael Chryssomallis
Georgios A. KyriakouGeorgios A. Kyriakou
Georgios A. Kyriakou
The Internet of Things (IoT) envisions the interconnection of all electronic devices, ushering in a new technological era. IoT and 5G technology are linked, complementing each other in a manner that significantly enhances their impact. As sensors become increasingly embedded in our daily lives, they transform everyday objects into “smart” devices. This synergy between IoT sensor networks and 5G creates a dynamic ecosystem where the infrastructure provided by 5G’s high-speed, low-latency communication enables IoT devices to function more efficiently and effectively, paving the way for innovative applications and services that enhance our awareness and interactions with the world. Moreover, application-oriented and multifunctional antennas need to be developed to meet these high demands. In this review, a comprehensive analysis of IoT antennas is conducted based on their application characteristics. It is important to note that, to the best of our knowledge, this is the first time that this categorization has been performed in the literature. Indeed, comparing IoT antennas across different applications without considering their specific operational contexts is not practical. This review focuses on four primary operational fields: smart homes, smart cities, and biomedical and implantable devices.

31 May 2025 in Future Internet
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Journal Article
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DADimitrios Arnaoutoglou
Dimitrios Arnaoutoglou
Tzichat M. EmplioukTzichat M. Empliouk
Tzichat M. Empliouk
TKTheodoros N. Kaifas
Theodoros N. Kaifas
Constantinos ZekiosConstantinos Zekios
Constantinos Zekios
Georgios A. KyriakouGeorgios A. Kyriakou
Georgios A. Kyriakou
The transition from 5G to 6G wireless systems introduces new challenges at the physical layer, including the need for higher frequency operations, massive MIMO deployment, advanced beamforming techniques, and sustainable energy harvesting mechanisms. A plethora of feature articles, review and white papers, and roadmaps elaborate on the perspectives and research challenges of wireless systems, in general, including both unified physical and cyber space. Hence, this paper presents a comprehensive review of the technological challenges and recent advancements in wireless communication hardware that underpin the development of next-generation networks, particularly 6G. Emphasizing the physical layer, the study explores critical enabling technologies including beamforming, massive MIMO, reconfigurable intelligent surfaces (RIS), millimeter-wave (mmWave) and terahertz (THz) communications, wireless power transfer, and energy harvesting. These technologies are analyzed in terms of their functional roles, implementation challenges, and integration into future wireless infrastructure. Beyond traditional physical layer components, the paper also discusses the role of reconfigurable RF front-ends, innovative antenna architectures, and user-end devices that contribute to the adaptability and efficiency of emerging communication systems. In addition, the inclusion of application-driven paradigms such as digital twins highlights how new use cases are shaping design requirements and pushing the boundaries of hardware capabilities. By linking foundational physical-layer technologies with evolving application demands, this work provides a holistic perspective aimed at guiding future research directions and informing the design of scalable, energy-efficient, and resilient wireless communication platforms for the Future Internet. Specifically, we first try to identify the demands and, in turn, explore existing or emerging technologies that have the potential to meet these needs. Especially, there will be an extended reference about the state-of-the-art antennas for massive MIMO terrestrial and non-terrestrial networks.

13 February 2009 in IEEE Transactions on Microwave Theory and Techniques
Verified
Journal Article
Closed access
CLChristos S. Lavranos
Christos S. Lavranos
Georgios A. KyriakouGeorgios A. Kyriakou
Georgios A. Kyriakou
An eigenvalue analysis numerical technique for curved closed waveguiding structures loaded with inhomogeneous and/or anisotropic materials is presented. For this purpose, a frequency-domain finite-difference method is developed for a general orthogonal curvilinear coordinate system. The main strength of the technique is the accurate modeling of curved transverse boundaries, as well as curved geometries along the propagation direction, under certain limitations for the latter. This feature avoids the necessity of a fine mesh, while it retains a high accuracy and it is free of any staircase effects. In general, the proposed method shares the finite-element technique capabilities in modeling complex boundaries, while it preserves the finite-difference convenience in handling inhomogeneous and anisotropic material loadings. The resulting eigenvalue-based problem is solved using the Arnoldi algorithm, which exploits the system matrix sparcity and the overall technique is robust, unconditionally stable with minimal computational and memory requirements. Numerical results are validated against analytical results and results from 3-D commercial electromagnetic simulators. Finally, novel results are also given.