摘要
在基于非正交多址(NOMA)和认知无线电(CR)网络的混合系统中进行功率分配,需要同时考虑主用户(PUs)和从用户(SUs)的服务质量。文章考虑在一个小区中主从用户同时存在,从用户采用NOMA的方式接入系统,并且从用户对主用户的造成的干扰不能影响到主用户的正常通信。本文提出的功率分配方法,可以实现接入系统中的从用户数量的最大化,并且还动态考虑了主用户的数量、信道条件、发送功率以及正常通信时的信干噪比(SINR)阈值等情况,最大可接入从用户的数量还会随着主用户各参数的变化而变化。仿真结果表明,在主用户数量、主从用户SINR阈值设置相同的情况下,所提功率分配方法与FTPC方法相比复杂度相同,但是本文的分配方法可以比FTPC多接入近一半的从用户数量。
When the power allocation is performed in a hybrid system based on Non-Orthogonal Multiple Access(NOMA)and Cognitive Radio(CR)networks,the quality of service of the Primary Users(PUs)and the Secondary Users(SUs)needs to be considered simultaneously.The system that both the PUs and the SUs exist in one cell is considered in this paper.The SUs are allowed to access the system by means of NOMA,when the interference caused by the SUs to the PUs does not affect the normal communication of the PUs.The proposed power allocation method can maximize the number of the SUs who can access the system,while several parameters of the PUs are considered dynamically such as the number,channel conditions,transmission power and Signal to Interference plus Noise Ratio(SINR)threshold during normal communication.The maximum number of the accessible SUs will vary with these parameters.The simulation results show that the complexity of the proposed power allocation method and the FTPC method are the same,in the case where the number of the PUs and the SINR threshold of the PUs and the SUs are the same for both methods,and the proposed allocation method can make the maximum number of the SUs that can access the system more than half of the FTPC method.
作者
时安谊
杨震
Shi Anyi;Yang Zhen(College of Communication&Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing,Jiangsu 210003,China;Key Lab of Broadband Wireless Communication and Sensor Network Technology,Ministry of Education,Nanjing University of Posts and Telecommunications,Nanjing,Jiangsu 210003,China;National Engineering Research Center of Communication and Network Technology,Nanjing University of Posts and Telecommunications,Nanjing,Jiangsu 210003,China)
出处
《信号处理》
CSCD
北大核心
2019年第7期1224-1234,共11页
Journal of Signal Processing
基金
国家自然科学基金项目(61671252)