Journal of Computer Applications ›› 2020, Vol. 40 ›› Issue (3): 788-792.DOI: 10.11772/j.issn.1001-9081.2019071217

• Network and communications • Previous Articles     Next Articles

User grouping and power allocation strategy based on NOMA system

JIN Yong1, LUO Ming1,2, DONG Mingyang1,2   

  1. 1. Institute of Communication Engineering Application, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
    2. Chongqing Key Laboratory of Mobile Communications Technology(Chongqing University of Posts and Telecommunications), Chongqing 400065, China
  • Received:2019-07-15 Revised:2019-09-04 Online:2020-03-10 Published:2019-09-11
  • Supported by:
    This work is partially supported by the Development Program for Changjiang Scholars and Innovative Teams (IRT_16R72).


金勇1, 罗明1,2, 董明扬1,2   

  1. 1. 重庆邮电大学 通信工程应用研究所, 重庆 400065;
    2. 移动通信技术重庆市重点实验室(重庆邮电大学), 重庆 400065
  • 通讯作者: 罗明
  • 作者简介:金勇(1974-),男,四川西昌人,高级工程师,硕士,主要研究方向:移动通信;罗明(1994-),男,江西赣州人,硕士研究生,主要研究方向:非正交多址接入;董明扬(1994-),男,四川广安人,硕士研究生,主要研究方向:5G室内分布系统。
  • 基金资助:

Abstract: An improved user grouping and power allocation strategy was proposed for high complexity problem of optimal user grouping and power allocation schemes for Non-Orthogonal Multiple Access (NOMA) systems. Firstly, the users were grouped, the first user of each subchannel was determined by channel gain value, and the remaining users were allocated by greedy matching method. Then, the power of user was allocated, and the power allocation problem was divided into two parts: inter-subchannel and intra-subchannel. The power was allocated by the linear water-filling algorithm for inter-subchannels, and the power was allocated by the proposed iterative power allocation algorithm for intra-subchannels. Finally, a Lagrangian function was constructed to maximize the throughput of system under the constraints of maximizing transmit power and guaranteeing the minimum data rate for each user. The simulation results show that in the case of multiple users, compared with the LWF-FTPA (Linear WaterFilling-Fractional Transmit Power Allocation) algorithm and EQ-FTPA (EQual-Fractional Transmit Power Allocation) algorithm, the proposed strategy has system throughput increased by 8% and 20% respectively, indicating that the strategy is better than traditional algorithms.

Key words: Non-Orthogonal Multiple Access (NOMA), user grouping, power allocation, linear water-filling, Lagrangian function

摘要: 针对非正交多址接入(NOMA)系统的最优用户分组和功率分配方案的高复杂度问题,提出一种改进的用户分组和功率分配策略。首先,对用户进行分组,由信道增益值确定每个子信道的第一个用户,再由贪婪匹配方法分配剩余用户;然后,对用户的功率进行分配,将该功率分配问题分成子信道间和子信道内两部分,对于子信道间采用线性注水算法分配功率,对于子信道内则采用所提的迭代功率分配算法分配功率;最后,构造拉格朗日函数以实现在最大发射功率以及保证每个用户最低数据速率的约束下系统吞吐量的最大化。仿真结果表明,在多用户的情况下,与线性注水的分数阶功率分配(LWF-FTPA)算法和等分数阶功率分配(EQ-FTPA)算法相比,系统吞吐量分别提高了8%和20%,所提策略优于传统算法。

关键词: 非正交多址接入, 用户分组, 功率分配, 线性注水, 拉格朗日函数

CLC Number: