OTFS-Assisted Wireless Control in UAV Networks with Finite Blocklength Transmission

• Published in: IEEE Wireless Communications and Networking Conference : [proceedings] : WCNC pp. 01 - 06
• Main Authors: Jin, Haijia, Wu, Jun, Yuan, Weijie, Shi, Yuye, Liu, Fan, Zheng, Le, Gong, Yi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 24.03.2025
• Subjects: Autonomous aerial vehicles; Computational complexity; Control systems; Convergence; Costs; finite blocklength (FBL); Internet of Things; orthogonal time frequency space (OTFS); Resource management; Simulation; Time-frequency analysis; Unmanned aerial vehicle (UAV); Wireless communication; wireless control
• ISSN: 1558-2612
• DOI: 10.1109/WCNC61545.2025.10978356

The rapid advancement of Internet of Things (IoT) networks has positioned unmanned aerial vehicles (UAV s) as critical enablers of next-generation wireless communication technologies. This paper focuses on orthogonal time frequency space (OTFS) modulation-assisted wireless control in UAV networks with finite blocklength (FBL) transmission. In particular, we in-vestigate the optimal power allocation that maximizes the fairness of control performance in terms of linear quadratic regulator (LQR) cost, subject to rate-LQR cost bounds and maximum available power budget constraints. To address the optimization problem, we first analyze the concave-convex property of the FBL rate function, followed by developing an efficient successive convex approximation (SCA)-based algorithm to obtain a sub-optimal solution. The convergence and computational complexity of the proposed algorithm are thoroughly analyzed. Simulation results validate the effectiveness of the proposed approach, offering promising insights for UAV-enabled wireless control systems.