Sum Rate and Max-Min Rate for Cellular-Enabled UAV Swarm Networks
| Autor: | Bin Yang, Yongchao Dang, Tarik Taleb, Shikai Shen, Xiaohong Jiang |
|---|---|
| Přispěvatelé: | Chuzhou University, Department of Communications and Networking, University of Oulu, Kunming University of Science and Technology, Future University Hakodate, Aalto-yliopisto, Aalto University |
| Rok vydání: | 2023 |
| Předmět: |
Optimization
Autonomous aerial vehicles IoT Computer Networks and Communications Minimax techniques Trajectory UAV networks directional antennas Aerospace Engineering performance optimization power control Array signal processing Automotive Engineering Antenna arrays Electrical and Electronic Engineering Uplink |
| Zdroj: | IEEE Transactions on Vehicular Technology. 72:1073-1083 |
| ISSN: | 1939-9359 0018-9545 |
| DOI: | 10.1109/tvt.2022.3204624 |
| Popis: | Publisher Copyright: IEEE 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. |
| Databáze: | OpenAIRE |
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