Energy supplies, spectrum resources, and transmission overheads of wireless nodes are the bottlenecks in decentralized networks (e.g., device-to-device communication networks). In this paper, we study the total power minimization problem of secondary users (SUs) for a multiuser simultaneous wireless information and power transfer-based cognitive ad-hoc network by jointly optimizing the transmit power and power-splitting (PS) coefficients of SUs in a distributed way, where SUs can harvest ambient radio-frequency signals to prolong the lifetime of nodes via a PS-based scheme. Firstly, a resource allocation (RA) problem with perfect channel state information (CSI) is formulated under the quality of service constraints and the minimum energy-harvesting (EH) constraints. The non-convex problem is decomposed into a subproblem with a high EH threshold and a subproblem with a low EH threshold. The distributed closed-form solutions are obtained via Lagrange dual theory. Secondly, to overcome the impact of channel estimation errors, a robust RA problem with imperfect CSI is studied under bounded uncertainties. Both the feasible region and robust sensitivity are analyzed to give an insight into system performance. Simulation results demonstrate that the effectiveness of the proposed algorithm.

中文翻译：

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基于 SWIPT 的认知自组织网络的分布式资源分配

无线节点的能源供应、频谱资源和传输开销是分散网络（例如，设备到设备通信网络）的瓶颈。在本文中，我们通过联合优化 SU 的发射功率和功率分配 (PS) 系数，研究了基于多用户同时无线信息和功率传输的认知自组织网络的次级用户 (SU) 的总功率最小化问题。一种分布式方式，其中 SU 可以通过基于 PS 的方案收集环境射频信号以延长节点的寿命。首先，在服务质量约束和最小能量收集（EH）约束下，制定了具有完美信道状态信息（CSI）的资源分配（RA）问题。非凸问题被分解为EH阈值高的子问题和EH阈值低的子问题。通过拉格朗日对偶理论获得分布式闭式解。其次，为了克服信道估计误差的影响，在有界不确定性下研究了具有不完善 CSI 的鲁棒 RA 问题。分析可行区域和鲁棒灵敏度以深入了解系统性能。仿真结果证明了所提算法的有效性。分析可行区域和鲁棒灵敏度以深入了解系统性能。仿真结果证明了所提算法的有效性。分析可行区域和鲁棒灵敏度以深入了解系统性能。仿真结果证明了所提算法的有效性。