UAV Trajectory Optimization for Joint Relay Communication and Image Surveillance

This work examines the use of image surveillance UAVs for relay communication between ground users and a remote base station (BS). UAVs take aerial images of the surveillance region and forward them to the BS while serving the uplink transmission demands of ground users. We first consider the single...

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Vydané v:IEEE transactions on wireless communications Ročník 21; číslo 12; s. 10177 - 10192
Hlavní autori: Cuong, Nguyen Van, Hong, Y.-W. Peter, Sheu, Jang-Ping
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.12.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Autonomous aerial vehicles
Cameras
Convexity
image surveillance
Image transmission
Mathematical analysis
Mathematical programming
Mixed integer
Nonlinear programming
proportional fairness
Relay
Relays
Resource management
Sensors
successive convex approximation
Surveillance
Task analysis
throughput maximization
Trajectory optimization
UAV communication
Unmanned aerial vehicles
ISSN:1536-1276, 1558-2248
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Shrnutí:This work examines the use of image surveillance UAVs for relay communication between ground users and a remote base station (BS). UAVs take aerial images of the surveillance region and forward them to the BS while serving the uplink transmission demands of ground users. We first consider the single-UAV scenario and jointly determine the UAV's trajectory, task assignment, user association, and rate allocation by maximizing the sum-log-throughput of the users subject to constraints on the surveillance coverage, image transmission requirements, and relay capacity. The resulting mixed-integer nonlinear programming problem is solved by an inexact block coordinate descent (BCD) algorithm where we inherit ideas from the exact penalty method for mathematical programming with equilibrium constraints to relax the integer constraints and the successive convex approximation approach to address the non-convexity of the trajectory optimization problem. Then, we extend the proposed framework to the case with multiple UAVs that are dispatched to cover a wide surveillance region. The UAVs may complete both relay and surveillance tasks more efficiently through cooperation and proper task allocation for UAVs. A similar BCD algorithm is adopted to solve the problem. Numerical simulations are provided to demonstrate the effectiveness of the proposed scheme over several baseline methods.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2022.3182813