This study investigates a joint resource allocation (channel selection (CS) and power allocation (PA)) problem with multiple channels, users, constraints, and uncertainties in the underwater acoustic communication networks (UACNs). A hierarchical joint resource allocation model is formulated considering different user requirements. This model aims to minimize the maximum outage probability of lower users while satisfying the outage requirements of upper users. This study presents a robust distributed power allocation (RDPA) algorithm to solve complex PA problems with nonconvex mixed integers and uncertainties in UACNs. The residual energy of nodes is considered in the proposed RDPA algorithm to balance their energy, thereby extending the working time of the entire network. The proposed robust CS algorithm considers the actual and potential interferences of all neighboring nodes to decrease the interferences of nodes and the entire network, thereby reducing the outage probability of the network. Simulation results are presented to demonstrate the effectiveness of the proposed algorithm.

中文翻译：

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基于中断概率最小化的分层水声通信网络鲁棒联合资源分配算法

本研究调查了水声通信网络 (UACN) 中具有多信道、用户、约束和不确定性的联合资源分配（信道选择 (CS) 和功率分配 (PA)）问题。考虑到不同的用户需求，建立了分层联合资源分配模型。该模型旨在在满足上层用户的中断需求的同时，最小化下层用户的最大中断概率。本研究提出了一种稳健的分布式功率分配 (RDPA) 算法，以解决 UACN 中具有非凸混合整数和不确定性的复杂 PA 问题。提出的RDPA算法考虑了节点的剩余能量来平衡它们的能量，从而延长整个网络的工作时间。所提出的鲁棒 CS 算法考虑了所有相邻节点的实际和潜在干扰，以减少节点和整个网络的干扰，从而降低网络的中断概率。仿真结果证明了所提出算法的有效性。