A Cognitive Radio Enabled RF/FSO Communication Model for Aerial Relay Networks: Possible Configurations and Opportunities

Two emerging technologies, cognitive radio (CR) and free-space optical (FSO) communication, have created much interest both in academia and industry recently as they can fully utilize the spectrum while providing cost-efficient secure communication. In this article, motivated by the mounting interest in CR and FSO systems and by their ability to be rapidly deployed for civil and military applications, particularly in emergency situations, we propose a CR enabled radio frequency (RF)/FSO communication model for an aerial relay network. In the proposed model, CR enabled RF communication is employed for a ground-to-air channel to exploit the advantages of CR, including spectrum efficiency, multi-user connectivity, and spatial diversity. For an air-to-air channel, FSO communication is used, since the air-to-air path can provide perfect line-of-sight connectivity, which is vital for FSO systems. Finally, for an air-to-ground channel, a hybrid RF/FSO communication system is employed, where the RF communication functions as a backup for the FSO communication in the presence of adverse weather conditions. The proposed communication model is shown to be capable of fully utilizing the frequency spectrum, while effectively dealing with RF network problems of spectrum mobility and underutilization, especially for emergency conditions when multiple unmanned aerial vehicles (UAVs) are deployed.

[1]  Ricardo Alfonso Barrios Porras Exponentiated weibull fading channel model in free-space optical communications under atmospheric turbulence , 2013 .

[2]  Deepak Solanki,et al.  Optical Wireless Communication , 2018, MobiCom.

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

[4]  Halim Yanikomeroglu,et al.  Is 5G Ready for Drones: A Look into Contemporary and Prospective Wireless Networks from a Standardization Perspective , 2019, IEEE Wireless Communications.

[5]  Ming Chen,et al.  Outage Analysis for Relay-Aided Free-Space Optical Communications Over Turbulence Channels With Nonzero Boresight Pointing Errors , 2014, IEEE Photonics Journal.

[6]  Mohamed-Slim Alouini,et al.  Multiple UAVs as Relays: Multi-Hop Single Link Versus Multiple Dual-Hop Links , 2018, IEEE Transactions on Wireless Communications.

[7]  Halim Yanikomeroglu,et al.  On the Error Probability of Cognitive RF-FSO Relay Networks Over Rayleigh/EW Fading Channels With Primary-Secondary Interference , 2020, IEEE Photonics Journal.

[8]  Markus Knapek,et al.  Optical Communications for High-Altitude Platforms , 2010, IEEE Journal of Selected Topics in Quantum Electronics.

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

[10]  Jun-Bo Wang,et al.  Ergodic capacity and outage capacity analysis for multiple-input single-output free-space optical communications over composite channels , 2014 .

[11]  Harald Haas,et al.  Optical wireless communication , 2020, Philosophical Transactions of the Royal Society A.

[12]  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.

[13]  Bernhard Epple Simplified Channel Model for Simulation of Free-Space Optical Communications , 2010, IEEE/OSA Journal of Optical Communications and Networking.

[14]  Ilyong Chung,et al.  Spectrum mobility in cognitive radio networks , 2012, IEEE Communications Magazine.

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

[16]  Mohamed-Slim Alouini,et al.  A Survey of Channel Modeling for UAV Communications , 2018, IEEE Communications Surveys & Tutorials.

[17]  Soujanya Katikala,et al.  GOOGLE™ PROJECT LOON , 2014 .

[18]  Debbie Kedar,et al.  Urban optical wireless communication networks: the main challenges and possible solutions , 2004, IEEE Communications Magazine.

[19]  Saeedeh Parsaeefard,et al.  Analytical Channel Models for Millimeter Wave UAV Networks Under Hovering Fluctuations , 2019, IEEE Transactions on Wireless Communications.

[20]  Seyed Mohammad Sajad Sadough,et al.  Tractable Optical Channel Modeling Between UAVs , 2019, IEEE Transactions on Vehicular Technology.

[21]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[22]  Subrat Kar,et al.  Performance Analysis of FSO Array Receivers in Presence of Atmospheric Turbulence , 2014, IEEE Photonics Technology Letters.