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

• Published in: IEEE Transactions on Vehicular Technology Vol. 72; no. 1; pp. 1073 - 1083
• Main Authors: Yang, Bin, Dang, Yongchao, Taleb, Tarik, Shen, Shikai, Jiang, Xiaohong
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2023; Institute of Electrical and Electronics Engineers (IEEE); The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antenna arrays; Array signal processing; Autonomous aerial vehicles; Cellular communication; Directional antennas; Eigenvalues; Internet of Things; IoT; Iterative algorithms; Iterative methods; Kuhn-Tucker method; Maximization; Minimax techniques; Networks; Optimization; Parameters; performance optimization; power control; Trajectory; UAV networks; Unmanned aerial vehicles; Uplink
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2022.3204624

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.