Maritime Coverage Enhancement Using UAVs Coordinated With Hybrid Satellite-Terrestrial Networks

• Published in: IEEE transactions on communications Vol. 68; no. 4; pp. 2355 - 2369
• Main Authors: Li, Xiangling, Feng, Wei, Chen, Yunfei, Wang, Cheng-Xiang, Ge, Ning
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Autonomous underwater vehicles; Broadband antennas; Broadband communication; Computer simulation; Convexity; Hybrid satellite-terrestrial network; Interference; Kinematics; Maneuverability; Marine vehicles; maritime communications; Maritime satellites; Oceans; Optimization; power allocation; Satellites; Trajectory; unmanned aerial vehicle (UAV); Unmanned aerial vehicles
• ISSN: 0090-6778; 1558-0857
• DOI: 10.1109/TCOMM.2020.2966715

Due to the agile maneuverability, unmanned aerial vehicles (UAVs) have shown great promise for on-demand communications. In practice, UAV-aided aerial base stations are not separate. Instead, they rely on existing satellites/terrestrial systems for spectrum sharing and efficient backhaul. In this case, how to coordinate satellites, UAVs and terrestrial systems is still an open issue. In this paper, we deploy UAVs for coverage enhancement of a hybrid satellite-terrestrial maritime communication network. Using a typical composite channel model including both large-scale and small-scale fading, the UAV trajectory and in-flight transmit power are jointly optimized, subject to constraints on UAV kinematics, tolerable interference, backhaul, and the total energy of the UAV for communications. Different from existing studies, only the location-dependent large-scale channel state information (CSI) is assumed available, because it is difficult to obtain the small-scale CSI before takeoff in practice and the ship positions can be obtained via the dedicated maritime Automatic Identification System. The optimization problem is non-convex. We solve it by using problem decomposition, successive convex optimization and bisection searching tools. Simulation results demonstrate that the UAV fits well with existing satellite and terrestrial systems, using the proposed optimization framework.