TY - GEN
T1 - Statistical Characterization of FSO-based Airborne Backhaul Links
AU - Elamassie, Mohammed
AU - Uysal, Murat
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Backhaul solutions with large capacity and global coverage are of great importance for 6G wireless communication networks. With its ultra-large bandwidth and immunity to electromagnetic interference, free-space optical (FSO) communication has stood out as a major connectivity solution for UAV-to-UAV and UAV-to-ground links. While the performance of horizontal terrestrial FSO links is mainly limited by atmospheric-turbulence-induced fading, geometrical and atmospheric losses dominate the link budget of an airborne link between a high-altitude fixed-wing UAV and a ground station. Since the fixed-wing UAV continuously moves, the transmission distance between it and the ground station changes, causing both atmospheric and geometric losses to change, which results in the fading effect. In this paper, we statistically characterize this aggregate channel coefficient. First, we derive a probability density function for the channel coefficient; then, we obtain an expression for the instantaneous received signal-to-noise ratio (SNR). We validate our derived expressions through numerical calculations.
AB - Backhaul solutions with large capacity and global coverage are of great importance for 6G wireless communication networks. With its ultra-large bandwidth and immunity to electromagnetic interference, free-space optical (FSO) communication has stood out as a major connectivity solution for UAV-to-UAV and UAV-to-ground links. While the performance of horizontal terrestrial FSO links is mainly limited by atmospheric-turbulence-induced fading, geometrical and atmospheric losses dominate the link budget of an airborne link between a high-altitude fixed-wing UAV and a ground station. Since the fixed-wing UAV continuously moves, the transmission distance between it and the ground station changes, causing both atmospheric and geometric losses to change, which results in the fading effect. In this paper, we statistically characterize this aggregate channel coefficient. First, we derive a probability density function for the channel coefficient; then, we obtain an expression for the instantaneous received signal-to-noise ratio (SNR). We validate our derived expressions through numerical calculations.
KW - 6G wireless communication networks
KW - Free-space optical communication
KW - high-altitude
KW - unmanned aerial vehicle
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U2 - 10.1109/BalkanCom58402.2023.10167896
DO - 10.1109/BalkanCom58402.2023.10167896
M3 - Conference contribution
AN - SCOPUS:85165623488
T3 - 2023 International Balkan Conference on Communications and Networking, BalkanCom 2023
BT - 2023 International Balkan Conference on Communications and Networking, BalkanCom 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Balkan Conference on Communications and Networking, BalkanCom 2023
Y2 - 5 June 2023 through 8 June 2023
ER -