Trajectory Control and Resource Allocation for UAV-Based Networks with Wireless Backhauls

In this paper, we study the trajectory control and sub-channel assignment for unmanned aerial vehicle (UAV) based wireless networks with wireless backhauls. This design aims to maximize the min rate achieved by ground users (GUs) subject to their data transmission demands. To tackle the underlying m...

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Vydáno v:IEEE International Conference on Communications (2003) s. 1 - 6
Hlavní autoři: Nguyen, Minh Dat, Bao Le, Long, Girard, Andre
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.06.2021
Témata:
Approximation algorithms
Diversity methods
Heuristic algorithms
mixed integer non-linear programming
Programming
sub-channel assignment
Trajectory
UAV trajectory
Unmanned aerial vehicles
wireless backhaul
Wireless networks
ISSN:1938-1883
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Abstract In this paper, we study the trajectory control and sub-channel assignment for unmanned aerial vehicle (UAV) based wireless networks with wireless backhauls. This design aims to maximize the min rate achieved by ground users (GUs) subject to their data transmission demands. To tackle the underlying mixed integer non-linear optimization problem, we use the alternating optimization approach where we iteratively optimize the sub-channel assignment and UAV trajectory control until convergence. Toward this end, we propose a heuristic algorithm to obtain a feasible solution for the sub-channel assignment sub-problem. In addition, the successive convex approximation (SCA) method 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 for different network settings.
AbstractList In this paper, we study the trajectory control and sub-channel assignment for unmanned aerial vehicle (UAV) based wireless networks with wireless backhauls. This design aims to maximize the min rate achieved by ground users (GUs) subject to their data transmission demands. To tackle the underlying mixed integer non-linear optimization problem, we use the alternating optimization approach where we iteratively optimize the sub-channel assignment and UAV trajectory control until convergence. Toward this end, we propose a heuristic algorithm to obtain a feasible solution for the sub-channel assignment sub-problem. In addition, the successive convex approximation (SCA) method 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 for different network settings.
Author Nguyen, Minh Dat
Bao Le, Long
Girard, Andre
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  givenname: Long
  surname: Bao Le
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  givenname: Andre
  surname: Girard
  fullname: Girard, Andre
  email: andre@emt.inrs.ca
  organization: University of Québec,INRS-EMT,Montréal,Québec,Canada
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SubjectTerms Approximation algorithms
Diversity methods
Heuristic algorithms
mixed integer non-linear programming
Programming
sub-channel assignment
Trajectory
UAV trajectory
Unmanned aerial vehicles
wireless backhaul
Wireless networks
Title Trajectory Control and Resource Allocation for UAV-Based Networks with Wireless Backhauls
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