Abstract
Aerial communication platforms, stratospheric high-altitude platform stations (HAPSs), have the potential to provide/catalyze advanced mobile wireless communication services with their ubiquitous connectivity and ultrawide coverage radius. Recently, the HAPS has gained immense popularity-achieved primarily through self-sufficient energy systems-to render long-endurance characteristics. The photovoltaic cells mounted on the aircraft harvest solar energy during the day, which can be partially used for communication and station keeping, whereas the excess is stored in the rechargeable batteries for the nighttime operation. We carry out an adroit power budgeting to ascertain if the available solar power can simultaneously and efficiently self-sustain the requisite propulsion and communication power expense. We further propose an energy optimum trajectory for station-keeping flight and nonorthogonal multiple access (NOMA) for multicell users, which are served by the directional beams from HAPS communication systems. We design optimal power allocation for downlink (DL) NOMA users along with the ideal position and speed of flight with the aim to maximize sum data rate during the day and minimize power expenditure during the night, while ensuring the quality of service. Our findings reveal the significance of joint design of communication and aerodynamic parameters for optimum energy utilization and resource allocation. © 1965-2011 IEEE.
Original language | American English |
---|---|
Pages (from-to) | 8327-8341 |
Number of pages | 15 |
Journal | IEEE Transactions on Aerospace and Electronic Systems |
Volume | 59 |
Issue number | 6 |
DOIs | |
State | Published - 2023 |
Keywords
- Aerodynamics
- Antennas
- Budget control
- Energy utilization
- Internet of things
- Quality of service
- Resource allocation
- Unmanned aerial vehicles (UAV)
- Vehicle to vehicle communications
- 6g
- Aerial vehicle
- Downlink
- High Altitude Platform system
- Multiple access
- Non-orthogonal
- Non-orthogonal multiple access
- Resource management
- Unmanned aerial vehicle
- Solar energy