Outage Analysis of UAV-based FSO Systems Over Log-Normal Turbulence Channels

Free-space optical (FSO)communication systems have recently attracted an ever increasing popularity for data transfer between unmanned aerial vehicles (UAVs). Although providing wide unlicensed bandwidth, the channel capacity of UAV-based FSO links is negatively affected by atmospheric turbulence-induced fading, pointing errors due to the position and orientation deviations of hovering UAVs along with interruption probability due to the joint effects of angle-of-arrival fluctuations and receiver field-of-view limitations. Due to these undesirable limitations, outage probability is commonly considered as an important metric for performance analysis in FSO links. So, in this paper, we derive the closed-form expression for outage probability of UAV-based FSO links. To confirm the accuracy of the proposed analytical results, we compare these outage rates to those provided by Monte-Carlo simulations.

[1]  Khaled Ben Letaief,et al.  Throughput and Energy Efficiency Analysis of Small Cell Networks with Multi-Antenna Base Stations , 2013, IEEE Transactions on Wireless Communications.

[2]  Seyed Mohammad Sajad Sadough,et al.  FSO channel estimation for OOK modulation with APD receiver over atmospheric turbulence and pointing errors , 2017 .

[3]  George K. Karagiannidis,et al.  Statistical Modeling of FSO Fronthaul Channel for Drone-Based Networks , 2017, 2018 IEEE International Conference on Communications (ICC).

[4]  Sofie Pollin,et al.  Ultra Reliable UAV Communication Using Altitude and Cooperation Diversity , 2017, IEEE Transactions on Communications.

[5]  Mohamed-Slim Alouini,et al.  FSO-Based Vertical Backhaul/Fronthaul Framework for 5G+ Wireless Networks , 2016, IEEE Communications Magazine.

[6]  Noureddine Boudriga,et al.  A tree-based data collection protocol for optical unmanned aerial vehicle networks , 2018, Comput. Electr. Eng..

[7]  Manav R. Bhatnagar,et al.  Quantized Feedback-Based Differential Signaling for Free-Space Optical Communication System , 2016, IEEE Transactions on Communications.

[8]  Murat Uysal,et al.  Survey on Free Space Optical Communication: A Communication Theory Perspective , 2014, IEEE Communications Surveys & Tutorials.

[9]  Seyed Mohammad Sajad Sadough,et al.  Performance analysis of EM-based blind detection for ON–OFF keying modulation over atmospheric optical channels , 2018 .

[10]  Hazem Refai,et al.  Spherical FSO receivers for UAV communication: geometric coverage models , 2016, IEEE Transactions on Aerospace and Electronic Systems.

[11]  Seyed Mohammad Sajad Sadough,et al.  Channel Modeling and Parameter Optimization for Hovering UAV-Based Free-Space Optical Links , 2018, IEEE Journal on Selected Areas in Communications.

[12]  Mohamed-Slim Alouini,et al.  Low-SNR Capacity of Parallel IM-DD Optical Wireless Channels , 2017, IEEE Communications Letters.

[13]  George K. Karagiannidis,et al.  Block error rate of optical wireless communication systems over atmospheric turbulence channels , 2014, IET Commun..

[14]  Chadi Abou-Rjeily,et al.  UAV-Aided Cooperation for FSO Communication Systems , 2018, IEEE Communications Magazine.

[15]  Victor C. M. Leung,et al.  An Edge Computing Empowered Radio Access Network with UAV-Mounted FSO Fronthaul and Backhaul: Key Challenges and Approaches , 2018, IEEE Wireless Communications.

[16]  Seyed Mohammad Sajad Sadough,et al.  On the performance of multiplexing FSO MIMO links in log-normal fading with pointing errors , 2017, IEEE/OSA Journal of Optical Communications and Networking.

[17]  Peter G. LoPresti,et al.  Multielement FSO Transceivers Alignment for Inter-UAV Communications , 2014, Journal of Lightwave Technology.

[18]  Stjepan Bogdan,et al.  Dexterous Aerial Robots—Mobile Manipulation Using Unmanned Aerial Systems , 2017, IEEE Transactions on Robotics.