In this paper, we study the sum rate maximization problem involved in an unmanned aerial vehicle (UAV)-assisted maritime wireless network. Explicitly, the quadratic transform is first applied to transform the sum rate maximization problem into a tractable one by introducing an auxiliary variable. However, the recast objective function is nondifferentiable at some points, making it hard to solve especially when using gradient based methods. In order to tackle this problem, we propose a projected steepest descent algorithm, where smoothing and normalization methods are also used. Finally, simulation results are provided for characterizing that the proposed algorithm is capable of providing an improved sum rate performance for the UAV-assisted maritime wireless network.
|