2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) 2022
DOI: 10.1109/csndsp54353.2022.9908057
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An Experimental Testbed for Implementation and Validation of Software defined FSO under Atmospheric Conditions using USRPs

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“…For this testbed, the atmospheric scintillation data were obtained from the Radiosonde Observation databases combined with a statistical design approach and the cloud attenuation was introduced using Mie theory together with empirical Log-Normal modeling. A software-defined experimental testbed for analyzing the impact of various atmospheric conditions (mainly fog and turbulence induced attenuation and geometric losses) on the performance of medium-to-long FSO links was proposed in [143]. A hybrid FSO/RF testbed based on enhanced gated recurrent unit neural network channel prediction scheme to reduce the link switching frequency and link interruption duration was explored in [144].…”
Section: Advancement Of Experimental and Simulation Testbedsmentioning
confidence: 99%
“…For this testbed, the atmospheric scintillation data were obtained from the Radiosonde Observation databases combined with a statistical design approach and the cloud attenuation was introduced using Mie theory together with empirical Log-Normal modeling. A software-defined experimental testbed for analyzing the impact of various atmospheric conditions (mainly fog and turbulence induced attenuation and geometric losses) on the performance of medium-to-long FSO links was proposed in [143]. A hybrid FSO/RF testbed based on enhanced gated recurrent unit neural network channel prediction scheme to reduce the link switching frequency and link interruption duration was explored in [144].…”
Section: Advancement Of Experimental and Simulation Testbedsmentioning
confidence: 99%
“…FSO systems are prone to random channels, and hence, received power varies due to atmospheric conditions such as fog and turbulence losses [27]. In addition, other sources of randomness occur due to link geometry, such as pointing errors and geometric losses.…”
Section: Channelmentioning
confidence: 99%