Abstract
This letter investigates a dynamic scheme to analyze and optimize unmanned-aerial-vehicle-(UAV)-to-ground millimeter-wave (MMW) networks. First, a downlink energy transfer is proposed, followed by the uplink information transfer process between the UAV base stations (BSs) and a ground Internet of things (IoT) network. The UAVs fly above the ground IoT network in the energy transfer phase with the dynamic regulation to minimize the path loss fading. Afterwards, the ground-based IoT devices use the received energy to transmit the uplink information using vertical links. The UAV BSs are modeled with gain from multiple three-dimensional uniform linear antenna arrays. After deriving new statistical properties, we analyze the spectrum efficiency and energy efficiency for the system. Our numerical results have shown that the dynamic scheme in UAV-to-ground IoT networks provides great advantages than a traditional static deployment.
Highlights
In the next-generation Internet of Things (IoT) scenarios, the use of low-altitude platforms (LAPs) in aerial wireless communications has become increasingly popular, which has attracted huge attention from both academia and industry
In order to tackle this new challenge, stochastic geometry approach has been considered to optimize the effect of multiple MMW antennas on the spectrum efficiency (SE) and energy efficiency (EE) of Unmanned Aerial Vehicles (UAVs)-base stations (BSs) and ground Internet of things (IoT) networks, where the UAV-BSs first transfer energy and collect data from the ground IoT devices
The locations of all the UAV BSs and ground IoT devices are modeled as a Poisson point process (PPP) configuration in ΦU and ΦS with densities λU and λS, respectively, where λS is far larger than λU
Summary
In the next-generation Internet of Things (IoT) scenarios, the use of low-altitude platforms (LAPs) in aerial wireless communications has become increasingly popular, which has attracted huge attention from both academia and industry. In order to tackle this new challenge, stochastic geometry approach has been considered to optimize the effect of multiple MMW antennas on the spectrum efficiency (SE) and energy efficiency (EE) of UAV-BSs and ground Internet of things (IoT) networks, where the UAV-BSs first transfer energy and collect data from the ground IoT devices. We can apply this network architecture to particular scenarios such as those pertaining to disasters and precision agriculture. We conclude that the proposed scheme is superior to the existing hovering scheme, and the optimal time allocation will maximize both SE and EE
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
