UAV-Enabled Joint Sensing, Communication, Powering and Backhaul Transmission in Maritime Monitoring Networks
Bohan Li, Jiahao Liu, Yujun Liang, Qian Li, Haochen Liu, Yaoyuan Zhang, Junsheng Mu, Shahid Mumtaz, Sheng Chen

TL;DR
This paper proposes a UAV-enabled integrated system for maritime monitoring that combines sensing, communication, power transfer, and backhaul, optimizing operations for energy efficiency and sensing quality in challenging sea conditions.
Contribution
It introduces a novel joint optimization framework for UAV trajectory, time allocation, and power scheduling in a multi-functional maritime monitoring network.
Findings
Buoys achieve over 22bps/Hz data rate with 2mW harvested power.
The optimization framework converges well and is robust.
Optimal UAV paths maintain distance from buoys to balance sensing and transmission.
Abstract
This paper addresses the challenge of energy-constrained maritime monitoring networks by proposing an unmanned aerial vehicle (UAV)-enabled integrated sensing, communication, powering and backhaul transmission scheme with a tailored time-division duplex frame structure. Within each time slot, the UAV sequentially implements sensing, wireless charging and uplink receiving with buoys, and lastly forwards part of collected data to the central ship via backhaul links. Considering the tight coupling among these functions, we jointly optimize time allocation, UAV trajectory, UAV-buoy association, and power scheduling to maximize the performance of data collection, with the practical consideration of sea clutter effects during UAV sensing. A novel optimization framework combining alternating optimization, quadratic transform and augmented first-order Taylor approximation is developed, which…
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Taxonomy
TopicsUnderwater Vehicles and Communication Systems · UAV Applications and Optimization
