Integrated UAV Trajectory Control and Resource Allocation for UAV-Based Wireless Networks with Co-channel Interference Management

• Published in: IEEE internet of things journal Vol. 9; no. 14; p. 1
• Main Authors: Nguyen, Minh Dat, Le, Long Bao, Girard, Andre
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 15.07.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Autonomous aerial vehicles; Bandwidth; Channel allocation; Cochannel interference; Internet of Things; Iterative methods; Mixed integer; mixed integer non-linear programming; Optimization; Resource allocation; sub-channel assignment; Trajectory; Trajectory control; UAV trajectory; Unmanned aerial vehicles; user association; Wireless networks
• ISSN: 2327-4662; 2327-4662
• DOI: 10.1109/JIOT.2021.3138374

In this paper, we study the trajectory control, sub-channel assignment, and user association design for unmanned aerial vehicles (UAVs)-based wireless networks. We propose a method to optimize the max-min average rate subject to data demand constraints of ground users (GUs) where spectrum reuse and co-channel interference management are considered. The mathematical model is a mixed integer non-linear optimization problem which we solve by using the alternating optimization approach where we iteratively optimize the user association, sub-channel assignment, and UAV trajectory control until convergence. For the sub-channel assignment sub-problem, we propose an iterative sub-channel assignment (ISA) algorithm to obtain an efficient solution. Moreover, the successive convex approximation (SCA) is used to convexify and solve the non-convex UAV trajectory control sub-problem. Via extensive numerical studies, we illustrate the effectiveness of our proposed design considering different UAV flight periods and number of sub-channels and GUs as compared with a simple heuristic.