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Panagiotis D. Diamantoulakis

Researcher at Aristotle University of Thessaloniki

Publications -  132
Citations -  2266

Panagiotis D. Diamantoulakis is an academic researcher from Aristotle University of Thessaloniki. The author has contributed to research in topics: Computer science & Telecommunications link. The author has an hindex of 19, co-authored 89 publications receiving 1348 citations. Previous affiliations of Panagiotis D. Diamantoulakis include Southwest Jiaotong University & University of Erlangen-Nuremberg.

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Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review

TL;DR: The conclusion is that IoT and UAV are two of the most important technologies that transform traditional cultivation practices into a new perspective of intelligence in precision agriculture.
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Wireless-Powered Communications With Non-Orthogonal Multiple Access

TL;DR: In this article, a wireless-powered uplink communication system with non-orthogonal multiple access (NOMA), consisting of one base station and multiple energy harvesting users, is studied.
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Big Data Analytics for Dynamic Energy Management in Smart Grids

TL;DR: In this article, the authors highlight the big data issues and challenges faced by the dynamic energy management (DEM) employed in smart grid networks and propose a promising direction for future research in the field.
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Simultaneous Lightwave Information and Power Transfer (SLIPT)

TL;DR: Novel and fundamental SLIPT strategies are proposed, which can be optimized and implemented in visible light or infrared communication systems, equipped with a simple solar panel at the receiver, and considerably increase the harvested energy.
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Statistical Modeling of the FSO Fronthaul Channel for UAV-Based Communications

TL;DR: In this article, the authors investigated the statistics of the free space optics (FSO) communication channel between a hovering unmanned aerial vehicle (UAV) and a central unit, and developed a novel channel model for UAV-based FSO systems by quantifying the corresponding geometric and misalignment losses (GML), while taking into account the nonorthogonality of the laser beam and the random fluctuations of the position and orientation of the UAV.