Optimal power allocation based on sum-throughput maximization for energy harvesting cognitive radio networks

International Conference on Energy Engineering and Environmental Protection 2016

能源学;生态环境科学

Xie, Zhenwei^1 ; Zhu, Qi^2

Key Wireless Laboratory of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing

210003, China^1

Key Laboratory on Wideband Wireless Communications and Sensor Network Technology, Ministry of Education, Jiangsu Nanjing

210003, China^2

关键词: Causality constraint;    Cognitive radio network;    Interference constraints;    Optimal power allocation;    Threshold constraints;    Throughput maximization;    Throughput maximization problem;    Water-filling algorithm;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/52/1/012045/pdf
DOI  :  10.1088/1742-6596/52/1/012045

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In this study, an optimal power allocation algorithm by maximizing the sum-throughput in energy harvesting cognitive radio networks is proposed. Under the causality constraints of the harvested energy by solar radiation, electromagnetic waves and so on in the two secondary users (SUs), and the interference constraint in the primary user (PU), the sum-throughput maximization problem is formulated. The algorithm decomposes the interference threshold constraint to the power upper bounds of the two SUs. Then, the power allocation problems of the two SUs can be solved by a directional water-filling algorithm (DWA) with the power upper bounds, respectively. The paper gives the algorithm steps and simulation results, and the simulation results verify that the proposed algorithm has obvious advantages over the other two algorithms.