H
Harilaos G. Sandalidis
Researcher at University of Thessaly
Publications - 60
Citations - 2735
Harilaos G. Sandalidis is an academic researcher from University of Thessaly. The author has contributed to research in topics: Fading & Optical wireless. The author has an hindex of 23, co-authored 56 publications receiving 2298 citations. Previous affiliations of Harilaos G. Sandalidis include Aristotle University of Thessaloniki & University of Central Greece.
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Journal ArticleDOI
Optical wireless links with spatial diversity over strong atmospheric turbulence channels
TL;DR: This paper investigates the error rate performance of FSO systems for K-distributed atmospheric turbulence channels and discusses potential advantages of spatial diversity deployments at the transmitter and/or receiver, and presents efficient approximated closed-form expressions for the average bit-error rate (BER) of single-input multiple-output (SIMO) FSO Systems.
Journal ArticleDOI
Optical Wireless Communications With Heterodyne Detection Over Turbulence Channels With Pointing Errors
TL;DR: In this paper, the error performance of an heterodyne differential phase-shift keying (DPSK) optical wireless (OW) communication system operating under various intensity fluctuations conditions is investigated.
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BER Performance of FSO Links over Strong Atmospheric Turbulence Channels with Pointing Errors
TL;DR: The average bit-error rate in closed form of a FSO system operating in this channel environment, assuming intensity modulation/direct detection with on-off keying, is evaluated.
Proceedings ArticleDOI
Multihop Free-Space Optical Communications Over Strong Turbulence Channels
TL;DR: The performance of multihop free-space optical (FSO) wireless systems over turbulence-induced fading channels is studied and an exact analytical expression for the end-to-end outage probability of AF or decode-and-forward systems is obtained.
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Weather effects on FSO network connectivity
TL;DR: A multiple-hop FSO network, where the nodes are distributed at fixed positions on a given path-link, is considered, and the most critical weather phenomena are taken, i.e., fog, rain, and snow, and analytical expressions for the node isolation probability are derived, assuming a suitable path loss model.