S
Seyed Mohammad Sajad Sadough
Researcher at Shahid Beheshti University
Publications - 135
Citations - 1424
Seyed Mohammad Sajad Sadough is an academic researcher from Shahid Beheshti University. The author has contributed to research in topics: Cognitive radio & Communication channel. The author has an hindex of 19, co-authored 130 publications receiving 1128 citations. Previous affiliations of Seyed Mohammad Sajad Sadough include École Normale Supérieure & Centre national de la recherche scientifique.
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Channel Modeling and Parameter Optimization for Hovering UAV-Based Free-Space Optical Links
TL;DR: This paper addresses the accurate channel modeling to assess the benefits of MR UAV-based deployment for such links over both Gamma–Gamma and log-normal atmospheric turbulence models and discusses the impact of different transmitter/receiver parameters and their optimization in view of maximizing the link availability.
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On Secure Free-Space Optical Communications Over Málaga Turbulence Channels
TL;DR: The security issue is investigated from a physical layer perspective in the context of free-space optical communications and the performance of secure FSO link with intensity modulation/direct detection over Málaga with atmospheric turbulence channels that accounts for pointing errors is addressed.
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Tractable Optical Channel Modeling Between UAVs
TL;DR: A novel channel model for the considered system model under the effect of log-normal atmospheric turbulence channel is constructed and closed-form expressions for the outage probability and bit error rate are derived for better performance analysis.
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Optimal Placement of UAV-Assisted Free-Space Optical Communication Systems With DF Relaying
TL;DR: By characterizing source-to-relay and relay- to-destination channel models of the considered unmanned aerial vehicle (UAV)-assisted free-space optical (FSO) relay link, the optimal 3D coordinates of UAV relay as well as optimal optical beam pattern are derived.
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FSO Channel Estimation for OOK Modulation with APD Receiver over Atmospheric Turbulence and Pointing Errors
TL;DR: This paper investigates the channel estimation issue when using an APD at the receiver and proposes an ML channel estimator based on the expectation–maximization (EM) algorithm which has a low implementation complexity, making it suitable for high data-rate FSO communications.