Optimal Power Control for Energy Harvesting in Green Cognitive Radio Networks

Abstract

The integration of cognitive radio and energy has enhanced the utilization efficiency of the spectrum and promoted the application of green energy. To begin with, this paper presents the architecture of green energy-efficient communication and network models. It incorporates the distributed network model and the heterogeneous two-tier network model into the green cognitive radio power control and channel allocation model. The primary focus of this research lies in energy conservation at the physical layer. To mitigate the interference with primary users and address the peak constraint in secondary user power allocation, the article analyzes the system model of the cognitive radio network and subsequently elaborates on the dynamic throughput maximization allocation algorithm. Eventually, through experimental analysis and verification, the distinctiveness and comprehensiveness of the optimal power control for this subject are illustrated.