基于不完美CSI的异构NOMA网络能效优化算法

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

通信学报 ›› 2020, Vol. 41 ›› Issue (7): 131-140.doi: 10.11959/j.issn.1000-436x.2020101

基于不完美CSI的异构NOMA网络能效优化算法

徐勇军^1,²,谢豪¹,陈前斌¹,林金朝¹,刘期烈¹()

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

修回日期:2020-03-08 出版日期:2020-07-25 发布日期:2020-08-01
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
基金资助:
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支持基金资助项目(CSTCCXLJRC201908)

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

Yongjun XU^1,²,Hao XIE¹,Qianbin CHEN¹,Jinzhao LIN¹,Qilie LIU¹()

¹ School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
² Chongqing Key Laboratory of Mobile Communications Technology,Chongqing 400065,China

Revised:2020-03-08 Online:2020-07-25 Published:2020-08-01
Supported by:
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)

摘要/Abstract

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。

关键词: 不完美信道状态信息, 异构网络, 非正交多址接入, 稳健资源分配, 能效最大化

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.

Key words: imperfect CSI, heterogeneous network, NOMA, robust resource allocation, energy efficiency maximization

中图分类号:

TN918.82

徐勇军,谢豪,陈前斌,林金朝,刘期烈. 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,Jinzhao LIN,Qilie LIU. Energy efficiency optimization algorithm for heterogeneous NOMA network based on imperfect CSI[J]. Journal on Communications, 2020, 41(7): 131-140.

图/表 9

图1

表1

系统参数"

符号	含义
$p_{i, k}^{n}$	第n个小基站经过资源块k对第i个小蜂窝用户的分配功率
$h_{i, k}^{n}$	第n小基站经过资源块k到第i个小蜂窝用户的信道增益
$p_{m}^{k}$	第m个宏蜂窝用户经过资源块k的发射功率
$g_{i, k}^{m}$	第m个宏用户发射机经资源块k 到第i个小蜂窝用户的信道增益
$α_{i, k}^{n}$	资源块分配因子
$G_{m}^{n}$	第n个小基站到第m个宏蜂窝用户的信道增益
$I_{m}^{th}$	第m个宏蜂窝用户的干扰阈值
$I_{m}^{th}$	第n个小蜂窝中第i个小蜂窝用户的最小传输速率
$P_{c}$	所有小蜂窝的电路总能耗
$r_{i, k}^{n}$	第n个小基站中第i个小蜂窝用户经过资源块k 的信干噪比

表1

表2

仿真参数"

参数	值	参数	值
P _c/W	0.3	$I_{m}^{th} / m W$	0.22
$R_{i}^{n, \min} (b i t \cdot {(s \cdot H z)}^{- 1})$	0.5	K	10
M	2	δ ²/W	10^-8
N	2	X_max	10⁴
U	2	?	10^-6

表2

图2

图3

图4

图5

图6

图7

参考文献 20

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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

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