典型文献
Energy-efficient power allocation for NOMA heterogeneous networks with imperfect CSI
文献摘要：
In this paper,an optimal user power allocation scheme is proposed to maximize the energy efficiency for downlink non-orthogonal multiple access(NOMA)heterogeneous networks(HetNets).Considering channel estimation errors and inter-user interference under imperfect channel state information(CSI),the energy efficiency optimization problem is formulated,which is non-deterministic polynomial(NP)-hard and non-convex.To cope with this intractable problem,the optimization problem is converted into a convex problem and address it by the Lagrangian dual method.However,it is difficult to obtain closed-form solutions since the variables are coupled with each other.Therefore,a Lagrangian and sub-gradient based algorithm is proposed.In the inner layer loop,optimal powers are derived by the sub-gradient method.In the outer layer loop,optimal Lagrangian dual variables are obtained.Simulation results show that the proposed algorithm can significantly improve energy efficiency compared with traditional power allocation algorithms.
文献关键词：
中图分类号：
作者姓名：
Song Xin;Huang Xue;Gao Yiming;Qian Haijun
作者机构：
School of Computer and Communication Engineering,Northeastern University at Qinhuangdao,Qinhuangdao 066000,China
文献出处：
引用格式：
[1]Song Xin;Huang Xue;Gao Yiming;Qian Haijun-.Energy-efficient power allocation for NOMA heterogeneous networks with imperfect CSI)[J].中国邮电高校学报（英文版）,2022(01):102-112
A类：
B类：
Energy,efficient,allocation,NOMA,heterogeneous,networks,imperfect,CSI,In,this,paper,optimal,user,scheme,proposed,maximize,energy,efficiency,downlink,orthogonal,multiple,access,HetNets,Considering,channel,estimation,errors,interference,under,state,information,optimization,problem,formulated,which,deterministic,polynomial,NP,hard,convex,To,cope,intractable,converted,into,address,by,Lagrangian,dual,method,However,difficult,closed,solutions,since,variables,coupled,each,other,Therefore,sub,gradient,inner,layer,loop,powers,derived,outer,obtained,Simulation,results,show,that,significantly,improve,compared,traditional,algorithms
AB值：
0.550955
相似文献
机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
