Modulating retroreflector based free space optical link for UAV-to-ground communications

Title Modulating retroreflector based free space optical link for UAV-to-ground communications
Author Dabiri, M. T., Rezaee, M., Mohammadi, L., Javaherian, F., Yazdanian, V., Hasna, M. O., Uysal, Murat
Publication Date: 2022-10
Publication Place - IEEE
Subject Angle of arrival (AoA) fluctuations, FSO communications, Modulating retro-reflector (MRR), UAV
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 1536-1276
Record ID 1988d09b-1d0b-48fe-a26c-dd2bc5aa8a5b
Library Location Electrical & Electronics Engineering
Date 2022-10
Sample Text Weight reduction and low power consumption are key requirements in the next generation of unmanned aerial vehicle (UAV) networks. Employing modulating retro-reflector (MRR)-based free space optical (FSO) technology is an innovative technique for UAV-to-ground communication in order to reduce the payload weight and power consumption of UAVs which leads to increased maneuverability and flight time of UAV. In this paper, we consider an MRR-based FSO system for UAV-to-ground communication. We will show that the performance of the considered system is very sensitive to tracking errors. Therefore, to assess the benefits of MRR-based UAV deployment for FSO communications, the MRR-based UAV FSO channel is characterized by taking into account tracking system errors along with UAV's orientation fluctuations, link length, UAV's height, optical beam divergence angle, effective area of MRR, atmospheric turbulence and optical channel loss in the double-pass channels. To enable effective performance analysis, tractable and closed-form expressions are derived for probability density function of end-to-end signal to noise ratio, outage probability and bit error rate of the considered system under both weak-to-moderate and moderate-to-strong atmospheric turbulence conditions. The accuracy of the analytical expressions is verified by extensive simulations. Analytical results are then used to study the relationship between the optimal system design and tracking system errors.
DOI 10.1109/TWC.2022.3167945
Cilt 21
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Modulating retroreflector based free space optical link for UAV-to-ground communications

Author Dabiri, M. T., Rezaee, M., Mohammadi, L., Javaherian, F., Yazdanian, V., Hasna, M. O., Uysal, Murat
Publication Date 2022-10
Publication Place - IEEE
Subject Angle of arrival (AoA) fluctuations, FSO communications, Modulating retro-reflector (MRR), UAV
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 1536-1276
Record ID 1988d09b-1d0b-48fe-a26c-dd2bc5aa8a5b
Library Location Electrical & Electronics Engineering
Date 2022-10
Sample Text Weight reduction and low power consumption are key requirements in the next generation of unmanned aerial vehicle (UAV) networks. Employing modulating retro-reflector (MRR)-based free space optical (FSO) technology is an innovative technique for UAV-to-ground communication in order to reduce the payload weight and power consumption of UAVs which leads to increased maneuverability and flight time of UAV. In this paper, we consider an MRR-based FSO system for UAV-to-ground communication. We will show that the performance of the considered system is very sensitive to tracking errors. Therefore, to assess the benefits of MRR-based UAV deployment for FSO communications, the MRR-based UAV FSO channel is characterized by taking into account tracking system errors along with UAV's orientation fluctuations, link length, UAV's height, optical beam divergence angle, effective area of MRR, atmospheric turbulence and optical channel loss in the double-pass channels. To enable effective performance analysis, tractable and closed-form expressions are derived for probability density function of end-to-end signal to noise ratio, outage probability and bit error rate of the considered system under both weak-to-moderate and moderate-to-strong atmospheric turbulence conditions. The accuracy of the analytical expressions is verified by extensive simulations. Analytical results are then used to study the relationship between the optimal system design and tracking system errors.
DOI 10.1109/TWC.2022.3167945
Cilt 21
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