基于不完美CSI的异构NOMA网络能效优化算法

徐勇军; 谢豪; 陈前斌; 林金朝; 刘期烈

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

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基于不完美CSI的异构NOMA网络能效优化算法

学术论文 | 更新时间：2024-06-05

- 基于不完美CSI的异构NOMA网络能效优化算法
- Energy efficiency optimization algorithm for heterogeneous NOMA network based on imperfect CSI
- 通信学报 2020年41卷第7期页码：131-140
- 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：
  
  [ "徐勇军（1986- ），男，湖北赤壁人，博士，重庆邮电大学副教授、硕士生导师，主要研究方向为认知无线电、异构无线网络传输技术等" ]
  [ "谢豪（1997- ），男，重庆人，重庆邮电大学硕士生，主要研究方向为异构无线网络、稳健资源分配和反向散射通信等" ]
  [ "陈前斌（1967- ），男，四川南充人，博士，重庆邮电大学教授、博士生导师，主要研究方向为无线通信与网络" ]
  [ "林金朝（1966- ），男，四川蓬溪人，博士，重庆邮电大学教授、博士生导师，主要研究方向为无线通信传输技术、BAN与信息处理技术等" ]
  [ "刘期烈（1974- ），男，四川隆昌人，博士，重庆邮电大学教授、硕士生导师，主要研究方向为无线传感器网络、无线 Mesh 网络、卫星通信、车载网络、UWB 室内定位、大数据等" ]
- 基金信息：
  
  国家自然科学基金资助项目(61601071);国家自然科学基金资助项目(61671091);重庆市教委科学技术研究计划基金资助项目(KJQN201800606);重庆市自然科学基金资助项目(cstc2019jcyj-xfkxX0002);重庆市科技创新领军人才基金资助项目(CSTCCXLJRC201908)
- DOI：10.11959/j.issn.1000-436x.2020101
  中图分类号： TN918.82
- 网络出版日期：2020-07，
  
  纸质出版日期：2020-07-25
- 稿件说明：
移动端阅览
徐勇军, 谢豪, 陈前斌, 等. 基于不完美CSI的异构NOMA网络能效优化算法[J]. 通信学报, 2020,41(7):131-140.

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.
徐勇军, 谢豪, 陈前斌, 等. 基于不完美CSI的异构NOMA网络能效优化算法[J]. 通信学报, 2020,41(7):131-140. DOI： 10.11959/j.issn.1000-436x.2020101.

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.

关键词

Keywords

references

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