RESEARCH ARTICLE
Altitude and density optimization over UAV-enabled massive IoT wireless communications
Maryam Shabani,
Neda Faraji,
Mina Baghani,
Maryam Shabani
Department of Electrical Engineering, Imam Khomeini International University, Qazvin, Iran
Search for more papers by this authorCorresponding Author
Neda Faraji
Department of Electrical Engineering, Imam Khomeini International University, Qazvin, Iran
Correspondence
Neda Faraji, Room No. 493, Department of Electrical Engineering, Imam Khomeini International University, Qazvin, Iran.
Email: [email protected]
Search for more papers by this authorMina Baghani
Department of Electrical Engineering, Imam Khomeini International University, Qazvin, Iran
Search for more papers by this authorMaryam Shabani,
Neda Faraji,
Mina Baghani,
Maryam Shabani
Department of Electrical Engineering, Imam Khomeini International University, Qazvin, Iran
Search for more papers by this authorCorresponding Author
Neda Faraji
Department of Electrical Engineering, Imam Khomeini International University, Qazvin, Iran
Correspondence
Neda Faraji, Room No. 493, Department of Electrical Engineering, Imam Khomeini International University, Qazvin, Iran.
Email: [email protected]
Search for more papers by this authorMina Baghani
Department of Electrical Engineering, Imam Khomeini International University, Qazvin, Iran
Search for more papers by this authorFirst published: 16 February 2022
Abstract
Utilizing unmanned aerial vehicles (UAVs) as aerial base stations is a new and promising technology that enables the connectivity of a large volume of devices such as sensors and machines, referred to as massive Internet of Things (mIoT). This article aims to analyze and optimize the area spectral efficiency (ASE) by investigating the efficient deployment of UAVs to ensure reliable uplink communication from ground IoT devices to UAVs. We utilize the tools from stochastic geometry to derive the closed form expression of the ASE in the interference-limited regime. We propose a novel framework for maximizing the ASE of UAV-enabled networks by simultaneous optimization of UAVs' altitude and density. The simulation results demonstrate that deploying UAVs with combined optimal density and altitude outperforms more conventional deployment strategies in terms of the ASE.
Open Research
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available from the corresponding author upon reasonable request.
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