Energy-efficient power allocation for NOMA heterogeneous
networks with imperfect CSI

doi:10.19682/j.cnki.1005-8885.2022.2011

中国邮电高校学报(英文) ›› 2022, Vol. 29 ›› Issue (1): 102-112.doi: 10.19682/j.cnki.1005-8885.2022.2011

Energy-efficient power allocation for NOMA heterogeneous networks with imperfect CSI

Song Xin, Huang Xue, Gao Yiming, Qian Haijun

School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066000, China

收稿日期:2021-05-11 修回日期:2021-07-05 接受日期:2021-09-15 出版日期:2022-02-26 发布日期:2022-02-28
通讯作者: Corresponding author: Huang Xue E-mail:1045430883@qq.com
基金资助:
This work was supported by the National Nature Science Foundation of China (61473066) and the Natural Science Foundation of Hebei Province (F2021501020).

Energy-efficient power allocation for NOMA heterogeneous networks with imperfect CSI

Song Xin, Huang Xue, Gao Yiming, Qian Haijun

School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066000, China

Received:2021-05-11 Revised:2021-07-05 Accepted:2021-09-15 Online:2022-02-26 Published:2022-02-28
Contact: Corresponding author: Huang Xue E-mail:1045430883@qq.com
Supported by:
This work was supported by the National Nature Science Foundation of China (61473066) and the Natural Science Foundation of Hebei Province (F2021501020).

摘要/Abstract

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.

关键词: heterogeneous networks, non-orthogonal multiple access, imperfect channel state information, power allocation

Abstract: 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.

Key words: heterogeneous networks, non-orthogonal multiple access, imperfect channel state information, power allocation

中图分类号:

TN92

Song Xin, Huang Xue, Gao Yiming, Qian Haijun. Energy-efficient power allocation for NOMA heterogeneous networks with imperfect CSI[J]. The Journal of China Universities of Posts and Telecommunications, 2022, 29(1): 102-112.

参考文献

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Energy-efficient power allocation for NOMA heterogeneous networks with imperfect CSI

Energy-efficient power allocation for NOMA heterogeneous networks with imperfect CSI

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