J
John N. Sahalos
Researcher at Aristotle University of Thessaloniki
Publications - 308
Citations - 3952
John N. Sahalos is an academic researcher from Aristotle University of Thessaloniki. The author has contributed to research in topics: Antenna (radio) & Microstrip antenna. The author has an hindex of 30, co-authored 307 publications receiving 3538 citations. Previous affiliations of John N. Sahalos include Technical University of Madrid & ETSI.
Papers
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Spatial diversity two-branch antenna for wireless devices
TL;DR: In this article, a two-branch diversity antenna using a simple printed dual-band double-T monopole and operating at 2.4 and 5.2 GHz in the ISM band is presented.
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A note on the impedance variation with feed position of a rectangular microstrip-patch antenna
TL;DR: In this article, the variation with feed position of the input impedance of a rectangular patch antenna is investigated theoretically and two different feed types are examined: an inset microstrip line, and a coaxial probe.
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A study of uncertainties in modeling antenna performance and power absorption in the head of a cellular phone user
Konstantina S. Nikita,Marta Cavagnaro,Paolo Bernardi,Nikolaos K. Uzunoglu,Stefano Pisa,Emanuele Piuzzi,John N. Sahalos,G.I. Krikelas,J.A. Vaul,Peter S. Excell,Graziano Cerri,S. Chiarandini,R. De Leo,Paola Russo +13 more
TL;DR: In this article, a set of finite-difference time-domain (FDTD) numerical experiments modeling canonical representations of the human head/cellular phone interaction has been performed in order to investigate the effect of specific simulation details (e.g., antenna numerical representation and absorbing boundary conditions) on computed results.
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A Simple 3-D Geometric Channel Model for Macrocell Mobile Communications
TL;DR: A simple 3-D geometric scattering model for the uplink of a macrocell mobile environment that provides the statistics of Angle-of-Arrival (AoA) of the multipath components and extends the 2-D geometrical-based single bounce macrocell (GBSBM) model.
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Pareto Optimal Yagi-Uda Antenna Design Using Multi-Objective Differential Evolution
TL;DR: A multi-objective extension of Difierential Evolution, which can be applied to global optimization of any engineering problem with an arbitrary number of objective and constraint functions, is applied to Yagi-Uda antenna design under specifled constraints.