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Joint Resource Management and Trajectory Optimization for UAV-Enabled Maritime Network.

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Summary
This summary is machine-generated.

Unmanned aerial vehicles (UAVs) can bridge maritime communication gaps. This study optimizes UAV deployment for better maritime coverage and user throughput in communication blind zones.

Keywords:
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Area of Science:

  • Wireless Communication
  • Network Engineering
  • Robotics

Background:

  • Maritime communication networks suffer from coverage blind zones due to limited infrastructure deployment.
  • Unmanned Aerial Vehicles (UAVs) offer a flexible solution for enhancing maritime broadband coverage.

Purpose of the Study:

  • To propose a multi-UAV-enabled maritime communication model.
  • To maximize minimum average user throughput by optimizing user association, power allocation, and UAV trajectory.

Main Methods:

  • Formulating an optimization problem to enhance maritime communication system performance.
  • Decomposing the problem into user association, power allocation, and UAV trajectory subproblems.
  • Developing a joint iterative algorithm using successive convex approximation and interior-point methods.

Main Results:

  • The proposed algorithm effectively addresses maritime communication challenges.
  • Simulation results validate the UAV-enabled model's performance enhancement.
  • Demonstrated improvement in maritime coverage and user throughput.

Conclusions:

  • UAVs are a viable and effective solution for expanding maritime communication coverage.
  • The developed optimization strategy significantly improves system performance.
  • The proposed model offers a robust approach to overcoming maritime communication limitations.