On the Energy Consumption of UAV Edge Computing in Non-Terrestrial Networks
CoRR(2023)
摘要
During the last few years, the use of Unmanned Aerial Vehicles (UAVs)
equipped with sensors and cameras has emerged as a cutting-edge technology to
provide services such as surveillance, infrastructure inspections, and target
acquisition. However, this approach requires UAVs to process data onboard,
mainly for person/object detection and recognition, which may pose significant
energy constraints as UAVs are battery-powered. A possible solution can be the
support of Non-Terrestrial Networks (NTNs) for edge computing. In particular,
UAVs can partially offload data (e.g., video acquisitions from onboard sensors)
to more powerful upstream High Altitude Platforms (HAPs) or satellites acting
as edge computing servers to increase the battery autonomy compared to local
processing, even though at the expense of some data transmission delays.
Accordingly, in this study we model the energy consumption of UAVs, HAPs, and
satellites considering the energy for data processing, offloading, and
hovering. Then, we investigate whether data offloading can improve the system
performance. Simulations demonstrate that edge computing can improve both UAV
autonomy and end-to-end delay compared to onboard processing in many
configurations.
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关键词
6G,Non-Terrestrial Network (NTN),Unmanned Aerial Vehicle (UAV),High Altitude Platform (HAP),satellites,edge computing,energy consumption
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