Integrated UAV Trajectory Control and Resource Allocation for UAV-Based Wireless Networks with Co-channel Interference Management
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...
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| Published in | IEEE internet of things journal Vol. 9; no. 14; p. 1 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Piscataway
IEEE
15.07.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2327-4662 2327-4662 |
| DOI | 10.1109/JIOT.2021.3138374 |
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| Abstract | 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. |
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| AbstractList | 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. In this article, we study the trajectory control, subchannel 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 nonlinear optimization problem which we solve by using the alternating optimization approach where we iteratively optimize the user association, subchannel assignment, and UAV trajectory control until convergence. For the subchannel assignment subproblem, we propose an iterative subchannel assignment (ISA) algorithm to obtain an efficient solution. Moreover, the successive convex approximation (SCA) is used to convexify and solve the nonconvex UAV trajectory control subproblem. Via extensive numerical studies, we illustrate the effectiveness of our proposed design considering different UAV flight periods and number of subchannels and GUs as compared with a simple heuristic. |
| Author | Nguyen, Minh Dat Girard, Andre Le, Long Bao |
| Author_xml | – sequence: 1 givenname: Minh Dat surname: Nguyen fullname: Nguyen, Minh Dat organization: Institut National de la Recherche Scientifique-Énergie, Matériaux et Télécommunications (INRS-EMT), University of Québec, Montréal, QC H5A 1K6, Canada. (e-mail: minh.dat.nguyen@emt.inrs.ca) – sequence: 2 givenname: Long Bao surname: Le fullname: Le, Long Bao organization: Institut National de la Recherche Scientifique-Énergie, Matériaux et Télécommunications (INRS-EMT), University of Québec, Montréal, QC H5A 1K6, Canada – sequence: 3 givenname: Andre surname: Girard fullname: Girard, Andre organization: Institut National de la Recherche Scientifique-Énergie, Matériaux et Télécommunications (INRS-EMT), University of Québec, Montréal, QC H5A 1K6, Canada |
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| SubjectTerms | 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 |
| Title | Integrated UAV Trajectory Control and Resource Allocation for UAV-Based Wireless Networks with Co-channel Interference Management |
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