Abstract
This article proposes an ultra-reliable device-centric uplink (URDC-UL) communication scheme for airborne networks. In particular, base stations (BSs) are mounted on unmanned aerial vehicles (UAVs) that travel to schedule UL transmissions and collect data from devices. To attain an ultra-reliable unified device-centric performance, the UL connection is established when the UAV-BS is hovering at the nearest possible distance from the scheduled device. The performance of the proposed URDC-UL scheme is benchmarked against a stationary UAV-centric uplink (SUC-UL) scheme where the devices are scheduled to communicate to UAV-BSs that are continuously hovering at static locations. Utilizing stochastic geometry and queueing theory, novel spatiotemporal mathematical models are developed, which account for the UAV-BS spatial densities, mobility, altitude, antenna directivity, ground-to-air channel, and temporal traffic, among other factors. The results demonstrate the sensitivity of the URDC-UL scheme to the ratio between hovering and traveling time. In particular, the hovering to traveling time ratio should be carefully adjusted to maximize the harvested performance gains for the URDC-UL scheme in terms of link reliability, transmission rate, energy efficiency, and delay. Exploiting the URDC-UL scheme allows IoT devices to minimize transmission power while maintaining unified reliable transmission. This preserves the device's battery and addresses a critical IoT design challenge.
Original language | English |
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Pages (from-to) | 9484-9499 |
Number of pages | 16 |
Journal | IEEE Transactions on Vehicular Technology |
Volume | 72 |
Issue number | 7 |
DOIs | |
State | Published - 1 Jul 2023 |
Bibliographical note
Publisher Copyright:© 1967-2012 IEEE.
Keywords
- Airborne networks
- Internet of Things (IoT)
- device-centric networks
- queueing theory
- spatiotemporal model
- stochastic geometry
- ultra-reliable uplink communication
- unmanned aerial vehicles (UAVs)
ASJC Scopus subject areas
- Aerospace Engineering
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Automotive Engineering