Τίτλος:
A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges
Περίληψη:
Maritime activities represent a major domain of economic growth with several emerging maritime Internet of Things use cases, such as smart ports, autonomous navigation, and ocean monitoring systems. The major enabler for this exciting ecosystem is the provision of broadband, low-delay, and reliable wireless coverage to the ever-increasing number of vessels, buoys, platforms, sensors, and actuators. Towards this end, the integration of unmanned aerial vehicles (UAVs) in maritime communications introduces an aerial dimension to wireless connectivity going above and beyond current deployments, which are mainly relying on shore-based base stations with limited coverage and satellite links with high latency. Considering the potential of UAV-aided wireless communications, this survey presents the state-of-the-art in UAV-aided maritime communications, which, in general, are based on both conventional optimization and machine-learning-aided approaches. More specifically, relevant UAV-based network architectures are discussed together with the role of their building blocks. Then, physical-layer, resource management, and cloud/edge computing and caching UAV-aided solutions in maritime environments are discussed and grouped based on their performance targets. Moreover, as UAVs are characterized by flexible deployment with high re-positioning capabilities, studies on UAV trajectory optimization for maritime applications are thoroughly discussed. In addition, aiming at shedding light on the current status of real-world deployments, experimental studies on UAV-aided maritime communications are presented and implementation details are given. Finally, several important open issues in the area of UAV-aided maritime communications are given, related to the integration of sixth generation (6G) advancements. These future challenges include physical-layer aspects, non-orthogonal multiple access schemes, radical learning paradigms for swarms of UAVs and unmanned surface and underwater vehicles, as well as UAV-aided edge computing and caching. © 2020 IEEE.
Συγγραφείς:
Nomikos, N.
Gkonis, P.K.
Bithas, P.S.
Trakadas, P.
Λέξεις-κλειδιά:
Antennas; Economics; Internet of things; Learning systems; Network layers; Satellite links; Unmanned aerial vehicles (UAV); Vehicle to vehicle communications, Aerial vehicle; Air grounds; Integrated networks; Maritime communication; Maritime internet of thing; Mobile communication networks; Sixth-generation (6g) mobile communication network; Space-air-ground-sea integrated network; Underwater internet of thing; Unmanned aerial vehicle, Network architecture
