Sum Rate and Max-Min Rate for Cellular-Enabled UAV Swarm Networks

Bin Yang; Yongchao Dang; Tarik Taleb; Shikai Shen; Xiaohong Jiang

doi:10.1109/TVT.2022.3204624

Sum Rate and Max-Min Rate for Cellular-Enabled UAV Swarm Networks

Bin Yang, Yongchao Dang, Tarik Taleb, Shikai Shen, Xiaohong Jiang

Research output: Contribution to journal › Article › Scientific › peer-review

5 Citations (Scopus)

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Abstract

This paper investigates the fundamental rate performances in the highly promising cellular-enabled unmanned aerial vehicle (UAV) swarm networks, which can provide ubiquitous wireless connectivity for supporting various Internet of things (IoT) applications. We first provide the formulations for the sum rate maximization and max-min rate, which are two nonlinear optimization problems subject to the constraints of UAV transmit power and antenna parameters at base station (BS). For the sum rate maximization problem, we propose an iterative algorithm to solve it utilizing the Karush-Kuhn-Tucker (KKT) condition. For the max-min rate problem, we transform it to an equivalent conditional eigenvalue problem based on the nonlinear Perron-Frobenius theory, and thus design an iterative algorithm to obtain the solution of such problem. Finally, numerical results are presented to indicate the effect of some key parameters on the rate performances in such networks.

Original language	English
Pages (from-to)	1073-1083
Number of pages	11
Journal	IEEE Transactions on Vehicular Technology
Volume	72
Issue number	1
Early online date	6 Sept 2022
DOIs	https://doi.org/10.1109/TVT.2022.3204624
Publication status	Published - Jan 2023
MoE publication type	A1 Journal article-refereed

Keywords

Antenna arrays
Array signal processing
Autonomous aerial vehicles
directional antennas
IoT
Minimax techniques
Optimization
performance optimization
power control
Trajectory
UAV networks
Uplink

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title = "Sum Rate and Max-Min Rate for Cellular-Enabled UAV Swarm Networks",

abstract = "This paper investigates the fundamental rate performances in the highly promising cellular-enabled unmanned aerial vehicle (UAV) swarm networks, which can provide ubiquitous wireless connectivity for supporting various Internet of things (IoT) applications. We first provide the formulations for the sum rate maximization and max-min rate, which are two nonlinear optimization problems subject to the constraints of UAV transmit power and antenna parameters at base station (BS). For the sum rate maximization problem, we propose an iterative algorithm to solve it utilizing the Karush-Kuhn-Tucker (KKT) condition. For the max-min rate problem, we transform it to an equivalent conditional eigenvalue problem based on the nonlinear Perron-Frobenius theory, and thus design an iterative algorithm to obtain the solution of such problem. Finally, numerical results are presented to indicate the effect of some key parameters on the rate performances in such networks.",

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author = "Bin Yang and Yongchao Dang and Tarik Taleb and Shikai Shen and Xiaohong Jiang",

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year = "2023",

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AU - Yang, Bin

AU - Dang, Yongchao

AU - Taleb, Tarik

AU - Shen, Shikai

AU - Jiang, Xiaohong

N1 - Publisher Copyright: IEEE

PY - 2023/1

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N2 - This paper investigates the fundamental rate performances in the highly promising cellular-enabled unmanned aerial vehicle (UAV) swarm networks, which can provide ubiquitous wireless connectivity for supporting various Internet of things (IoT) applications. We first provide the formulations for the sum rate maximization and max-min rate, which are two nonlinear optimization problems subject to the constraints of UAV transmit power and antenna parameters at base station (BS). For the sum rate maximization problem, we propose an iterative algorithm to solve it utilizing the Karush-Kuhn-Tucker (KKT) condition. For the max-min rate problem, we transform it to an equivalent conditional eigenvalue problem based on the nonlinear Perron-Frobenius theory, and thus design an iterative algorithm to obtain the solution of such problem. Finally, numerical results are presented to indicate the effect of some key parameters on the rate performances in such networks.

AB - This paper investigates the fundamental rate performances in the highly promising cellular-enabled unmanned aerial vehicle (UAV) swarm networks, which can provide ubiquitous wireless connectivity for supporting various Internet of things (IoT) applications. We first provide the formulations for the sum rate maximization and max-min rate, which are two nonlinear optimization problems subject to the constraints of UAV transmit power and antenna parameters at base station (BS). For the sum rate maximization problem, we propose an iterative algorithm to solve it utilizing the Karush-Kuhn-Tucker (KKT) condition. For the max-min rate problem, we transform it to an equivalent conditional eigenvalue problem based on the nonlinear Perron-Frobenius theory, and thus design an iterative algorithm to obtain the solution of such problem. Finally, numerical results are presented to indicate the effect of some key parameters on the rate performances in such networks.

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KW - Array signal processing

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KW - directional antennas

KW - IoT

KW - Minimax techniques

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KW - performance optimization

KW - power control

KW - Trajectory

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Sum Rate and Max-Min Rate for Cellular-Enabled UAV Swarm Networks

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