摘要
为了解决现有认知无线电网络中存在的能耗和功率分配的问题,本文提出了一种基于超模博弈的underlay能量采集认知无线电网络的功率分配方法。首先,将能量采集技术引入到认知无线电网络中构建一个能量采集认知无线电网络。其次,将次用户之间的相互作用建模为超模博弈模型,并且引入了公平评价系数以提高次用户之间的公平性。接着,定义了次用户网络的效用函数,通过最大化次用户网络的效用函数,求解出超模博弈的纳什均衡解,即得到均衡的功率分配方案。最后通过仿真验证了所提方法的有效性。
In order to solve the problem of energy consumption and power allocation in existing Cognitive Radio(CR)networks,a Supermodel game power allocation method for an underlay Energy Harvesting Cognitive Radio(EH-CR)network is proposed.Firstly,the Energy Harvesting(EH)technology is introduced into the CR network to build an EH-CR network.Secondly,it is modeled the interplay among the Secondary Users(SUs)as a Supermodel game model,and a fairness evaluation coefficient is introduced to increase the fairness among the SUs.After that,the utility function of the secondary network based on the profit are defined.Next,by maximizing the utility function of the secondary network,the Nash Equilibrium(NE)solution of the Supermodel game can be obtained.Namely,the equalized power allocation scheme can be obtained.Simulation results are presented to show the validity of the proposed method at last.
作者
刘胜
LIU Sheng(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou,China,350108)
出处
《福建电脑》
2023年第3期26-30,共5页
Journal of Fujian Computer
基金
基于能量采集的认知无线电频谱感知及接入方法的研究(No.61871133)
非理想条件下认知无线电频谱感知技术的研究(No.2018J01789)资助。
关键词
能量采集
认知无线电
超模博弈
功率分配
Energy Harvesting
Cognitive Radio
Supermodel Game
Power Allocation
