Energy efficiency optimization algorithm for heterogeneous NOMA network based on imperfect CSI

Yongjun XU; Hao XIE; Qianbin CHEN; Jinzhao LIN; Qilie LIU

doi:10.11959/j.issn.1000-436x.2020101

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Energy efficiency optimization algorithm for heterogeneous NOMA network based on imperfect CSI

Papers | 更新时间：2024-06-05

- Energy efficiency optimization algorithm for heterogeneous NOMA network based on imperfect CSI
- Journal on Communications Vol. 41, Issue 7, Pages: 131-140(2020)
- 作者机构：
  
  1. 重庆邮电大学通信与信息工程学院，重庆 400065
  2. 移动通信技术重庆市重点实验室，重庆 400065
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61601071);The National Natural Science Foundation of China(61671091);The Science and Technology Research Program of Chongqing Municipal Education Commission(KJQN201800606);The Natural Science Foundation of Chongqing(cstc2019jcyj-xfkxX0002);Chongqing Science and Technology Innovation Leading Talent Support Program(CSTCCXLJRC201908)
- DOI：10.11959/j.issn.1000-436x.2020101
  CLC： TN918.82
- Online First：2020-07，
  
  Published：25 July 2020
- 稿件说明：
移动端阅览
Yongjun XU, Hao XIE, Qianbin CHEN, et al. Energy efficiency optimization algorithm for heterogeneous NOMA network based on imperfect CSI[J]. Journal on Communications, 2020, 41(7): 131-140.
DOI：

Yongjun XU, Hao XIE, Qianbin CHEN, et al. Energy efficiency optimization algorithm for heterogeneous NOMA network based on imperfect CSI[J]. Journal on Communications, 2020, 41(7): 131-140. DOI： 10.11959/j.issn.1000-436x.2020101.

摘要

为了提高异构网络的能量效率和参数摄动抑制能力，减小跨层干扰，提出了一种基于能量效率最大的异构非正交多址接入网络稳健资源分配算法。首先，考虑宏用户干扰功率约束、小蜂窝基站功率约束、资源块分配约束及小蜂窝用户服务质量约束，将资源优化问题建模为混合整数非线性分式规划问题。其次，考虑椭球有界信道不确定模型，利用凸松弛法、Dinkelbach法和连续凸近似法，将原问题转化为等价的凸优化形式，并利用拉格朗日对偶方法获得解析解。仿真结果表明，与完美CSI算法相比，所提算法具有较好的能效和稳健性。

Abstract

In order to improve the suppression capability of parametric perturbation and energy efficiency (EE) of heterogeneous networks (HetNets)

a robust resource allocation algorithm was proposed to maximize system EE for reducing cross-tier interference power in non-orthogonal multiple access (NOMA) based HetNets.Firstly

the resource optimization problem was formulated as a mixed integer and nonlinear programming one under the constraints of the interference power of macrocell users

maximum transmit power of small cell base station (BS)

resource block assignment and the quality of service (QoS) requirement of each small cell user.Then

based on ellipsoid bounded channel uncertainty models

the original problem was converted into the equivalent convex optimization problem by using the convex relaxation method

Dinkelbach method and the successive convex approximation (SCA) method.The analytical solutions were obtained by using the Lagrangian dual approach.Simulation results verifiy that the proposed algorithm had better EE and robustness by comparing it with the existing algorithm under perfect channel state information.

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Keywords

references

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