能量效率最大化的非正交多址接入系统功率分配方法

doi:10.13229/j.cnki.jdxbgxb.20221267

Abstract

Abstract:

In order to improve energy efficiency and reduce power consumption， a non-orthogonal multiple access （NOMA） power allocation algorithm based on system energy efficiency maximization is proposed for NOMA systems in cellular networks. The multi-user NOMA power distribution problem is transformed into system capacity maximization problem by analyzing the mathematical model under certain conditions. When the conditions are not satisfied， the subgradient method and obstacle function method are used to solve the problem. Simulation results show that the proposed algorithm has significant performance improvement compared with existing methods.

Key words: communication and information system, non-orthogonal multiple access system, energy efficiency maximization, power distribution, Dinkelbach algorithm

CLC Number:

TN92

Pu YANG,Qing-yue QU,Yi-fei SHEN,Yi LIU. Power allocation scheme for non-orthogonal multiple access system based on system energy efficiency maximization[J].Journal of Jilin University(Engineering and Technology Edition), 2024, 54(8): 2370-2377.

Figures/Tables 5

Table 1

Simulation parameters"

仿真参数	参数值
基站最大发送功率 $P T o t a l$ /dBm	46
基站固定功率损耗 $P C$ /dBm	30
小区半径/m	500
用户距基站的最小距离/m	20
用户分布方式	均匀分布
系统带宽W/MHz	5
用户数量N	［5 ： 5 ： 50］
用户组上限 $U m a x$	［2， 4， 6］
大尺度衰落 $L k, m$ /dB	$128.1 + 37.6 l g (d k, m)$
小尺度衰落 $L s$	$g k 2 / 2.64$
噪声功率谱密度 dBm·Hz^-1	-174
用户最小速率需求 $R m i n$ /Mbps	［0.25， 0.5，…， 5］
丁克尔巴赫算法容许误差 $ξ$	$1 × 10 - 6$
次梯度法收敛阈值	$1 × 10 - 3$
次梯度法初始拉格朗日乘子 $ε (0)$	1
次梯度法步长 $τ$	$1 × 10 - 3$
障碍函数法搜索参数a	0.1
障碍函数法搜索参数b	0.8
乘比例系数c	10
近似精度参数t	2
牛顿法收敛阈值 $π i n$	$1 × 10 - 3$
障碍函数法收敛阈值 $π o u t$	$1 × 10 - 3$

Table 1

Fig.1

Fig.2

Fig.3

Fig.4

References 15

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Power allocation scheme for non-orthogonal multiple access system based on system energy efficiency maximization

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