Stochastic Geometry-Based Analysis of Airborne Base Stations With Laser-Powered UAVs

Abstract

One of the most promising solutions to the problem of limited flight time of unmanned aerial vehicles (UAVs), is providing the UAVs with power through laser beams emitted from Laser Beam Directors (LBDs) deployed on the ground. In this letter, we study the performance of a laser-powered UAV-enabled communication system using tools from stochastic geometry. We first derive the energy coverage probability, which is defined as the probability of the UAV receiving enough energy to ensure successful operation (hovering and communication). Our results show that to ensure energy coverage, the distance between the UAV and its dedicated LBD must be below a certain threshold, for which we derive an expression as a function of the system parameters. Considering simultaneous information and power transmission through the laser beam using power splitting technique, we also derive the joint energy and the Signal-to-noise Ratio (SNR) coverage probability. The analytical and simulation results reveal some interesting insights. For instance, our results show that we need at least 6 LBDs/10km 2 to ensure a reliable performance in terms of energy coverage probability.Index Terms-Laser-powered UAV, simultaneous wireless information and power transmission, energy coverage, stochastic geometry.

New Trends in Stochastic Geometry for Wireless Networks: A Tutorial and Survey

“…Despite the potential benefits of FSO communications, SG as a powerful analytical tool has not been sufficiently used in the evaluation of FSO networks due to several major modeling challenges. To the authors' knowledge, it is only recently that the first PPP abstraction model has been leveraged in performance evaluation of FSO networks [344], where a scenario of SWIPT through laser beams emitted from the ground to UAV-mounted BSs is considered. In fact, the use of SG in modeling FSO communications is generally challenging due to the following aspects: i) FSO narrow beams require a perfect alignment of the LOS path, which can be problematic due to building sway generated by some environmental factors.…”

Privacy-Aware Wireless Power Transfer for Aerial Computation Offloading via Colonel Blotto Game

“…n . (11) The total utilities obtained by the HAP over battlefield set N during T in CB 1 with pure strategy is thus written as…”

“…Proof : At the mixed-strategy NE to CB 2 , the number of best assigned tile grids for each AUE between the HAP and the SA have different cases with H * n >S * n and H * n ≤S * n , and the best probability in different cases are denoted by Pr(H * n >S * n ) and Pr(H * n ≤S * n ), respectively. Referring to (11), only if H * n > S * n , the HAP can obtain the best expected total utilities, i.e., Pr(H * n >S * n ). Based on (10), (14), (19), and (20), we derive…”

“…With this setup, the HAP transmits laser energy to charge the AUEs from the sky, and the AUEs utilize the harvested energy to support the flights and complete the computation tasks. Several recent works are devoted to the application of laser-enabled WPT as the energy supply for the UAVs [5], [9], [11] and the Internet of Things (IoT) devices [12]. However, the above studies exploit the laser-enabled WPT only to the scenario of UAV communications and IoT, and do not capture the effect of laser-based WPT on the HAP-aided MEC.…”

Privacy-Aware Wireless Power Transfer for Aerial Computation Offloading via Colonel Blotto Game

“…With this setup, the HAP transmits laser energy to charge the AUEs from the sky, and the AUEs utilize the harvested energy to support the flights and complete the computation tasks. Several recent works are devoted to the application of laser-enabled WPT as the energy supply for the UAVs [5], [9], [10] and the Internet of Things (IoT) devices [11] in the scenario of wireless communications. However, the above studies exploit the laser-enabled WPT only to the scenario of UAV communications and IoT, and do not capture the effect of laser-based WPT on the HAP-aided MEC.…”