智能反射面辅助毫米波NOMA系统的资源分配联合设计方案

赵赛; 邹章晨; 黄高飞; 唐冬

doi:10.11959/j.issn.1000-436x.2022236

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智能反射面辅助毫米波NOMA系统的资源分配联合设计方案

学术论文 | 更新时间：2024-06-05

- 智能反射面辅助毫米波NOMA系统的资源分配联合设计方案
- Joint design scheme of resource allocation for intelligent reflecting surface assisted millimeter wave NOMA system
- 通信学报 2022年43卷第12期页码：113-122
- 作者机构：
  
  广州大学电子与通信工程学院，广东广州 510006
- 作者简介：
  
  [ "赵赛（1981- ），女，湖南衡阳人，博士，广州大学副教授、硕士生导师，主要研究方向为毫米波通信技术、非正交多址接入技术、智能反射面技术等" ]
  [ "邹章晨（1996-），男，湖北荆州人，广州大学硕士生，主要研究方向为毫米波波束成形技术、非正交多址接入技术等" ]
  [ "黄高飞（1978- ），男，广东信宜人，博士，广州大学副教授，主要研究方向为无线边缘计算、无线能量与信息同传、无人机通信技术等" ]
  [ "唐冬（1967- ），男，辽宁大连人，博士，广州大学教授，主要研究方向为中继通信与信号能量同传、移动边缘计算、环境散射与智能反射面通信等" ]
- 基金信息：
  
  国家自然科学基金资助项目(61902084);国家自然科学基金资助项目(61872098)
- DOI：10.11959/j.issn.1000-436x.2022236
  中图分类号： TN92
- 网络首发：2022-12，
  
  纸质出版：2022-12-25
- 稿件说明：
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赵赛, 邹章晨, 黄高飞, 等. 智能反射面辅助毫米波NOMA系统的资源分配联合设计方案[J]. 通信学报, 2022,43(12):113-122.

Sai ZHAO, Zhangchen ZOU, Gaofei HUANG, et al. Joint design scheme of resource allocation for intelligent reflecting surface assisted millimeter wave NOMA system[J]. Journal on Communications, 2022, 43(12): 113-122.
赵赛, 邹章晨, 黄高飞, 等. 智能反射面辅助毫米波NOMA系统的资源分配联合设计方案[J]. 通信学报, 2022,43(12):113-122. DOI： 10.11959/j.issn.1000-436x.2022236.

Sai ZHAO, Zhangchen ZOU, Gaofei HUANG, et al. Joint design scheme of resource allocation for intelligent reflecting surface assisted millimeter wave NOMA system[J]. Journal on Communications, 2022, 43(12): 113-122. DOI： 10.11959/j.issn.1000-436x.2022236.

摘要

为了进一步提高智能反射面（IRS）辅助毫米波非正交多址接入系统的频谱效率，研究了用户分簇、串行干扰消除（SIC）解码顺序、发射功率分配、模拟波束选择和IRS相移的联合设计方案。在发射功率约束、SIC解码速率约束、波束选择约束、SIC解码顺序约束、用户速率约束和IRS相移约束下，最大化系统和速率。由于离散变量、组合变量以及连续变量在目标函数和约束条件中耦合，所提优化问题难以用传统的优化方法求解。为了求解该问题，首先通过查询表将SIC解码顺序变量这一组合变量转化为二进制离散变量，然后基于混合鲸鱼优化算法解耦离散变量和连续变量，并基于罚函数法对优化约束建模，将非凸优化问题转换为启发式问题进行迭代求解。仿真结果验证了所提方案的有效性。

Abstract

In order to further improve the spectral efficiency of intelligent reflecting surface (IRS)-assisted millimeter wave non-orthogonal multiple access (NOMA) system

a joint design scheme of user clustering

successive interference cancellation (SIC) decoding order

transmit power allocation

analog beam selection and IRS phase shifting was investigated

under the transmit power constraint

SIC decoding rate constraint

beam selection constraint

SIC decoding order constraint

user rate constraint

and IRS phase shift constraint

aiming at maximizing system sum rate.Because of the coupling of discrete variables

combinatorial variables and continuous variables in objective function and constraints

the formulated optimization problem was difficult to solve by traditional optimization methods.To solve it

first the SIC decoding sequence variables were transformed into binary discrete variables through a query table

then the discrete variables and continuous variables were decoupled based on the hybrid whale optimization algorithm

and delt with the optimization constraints based on the penalty function method

and the non-convex optimization problem was transformed into a heuristic problem for iterative solution.Simulation results verify the effectiveness of the proposed scheme.

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Keywords

references

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XIU Y , ZHAO J , SUN W , et al . Reconfigurable intelligent surfaces aided mmWave NOMA:joint power allocation,phase shifts,and hybrid beamforming optimization [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 12 ): 8393 - 8409 .

AYACH O E , RAJAGOPAL S , ABU-SURRA S , , et al . Spatially sparse precoding in millimeter wave MIMO systems [J ] . IEEE Transactions on Wireless Communications , 2014 , 13 ( 3 ): 1499 - 1513 .

KUMAR V , KUMAR D . Binary whale optimization algorithm and its application to unit commitment problem [J ] . Neural Computing and Applications , 2020 , 32 ( 7 ): 2095 - 2123 .

MUHI-ELDEEN Z , IVRISSIMTZIS L P , AL-NUAIMI M . Modelling and measurements of millimetre wavelength propagation in urban environments [J ] . IET Microwaves,Antennas ＆ Propagation , 2010 , 4 ( 9 ): 1300 .

ZOU Z C , ZHAO S , HUANG G F , et al . Novel design of user scheduling and analog beam selection in downlink millimeter-wave communications [J ] . IEEE Internet of Things Journal , 2022 , 9 ( 6 ): 4168 - 4178 .

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