智能反射面辅助毫米波NOMA系统的资源分配联合设计方案

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

通信学报 ›› 2022, Vol. 43 ›› Issue (12): 113-122.doi: 10.11959/j.issn.1000-436x.2022236

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

广州大学电子与通信工程学院，广东广州 510006

修回日期:2022-08-14 出版日期:2022-12-25 发布日期:2022-12-01
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
基金资助:
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)

Joint design scheme of resource allocation for intelligent reflecting surface assisted millimeter wave NOMA system

Sai ZHAO, Zhangchen ZOU, Gaofei HUANG, Dong TANG

School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China

Revised:2022-08-14 Online:2022-12-25 Published:2022-12-01
Supported by:
The National Natural Science Foundation of China(61902084);The National Natural Science Foundation of China(61872098)

摘要/Abstract

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。

关键词: 智能反射面, 非正交多址, 毫米波, 鲸鱼优化算法

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.

Key words: intelligent reflecting surface, non-orthogonal multiple access, millimeter wave, whale optimization algorithm

中图分类号:

TN92

赵赛, 邹章晨, 黄高飞, 唐冬. 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, Dong TANG. Joint design scheme of resource allocation for intelligent reflecting surface assisted millimeter wave NOMA system[J]. Journal on Communications, 2022, 43(12): 113-122.

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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

Joint design scheme of resource allocation for intelligent reflecting surface assisted millimeter wave NOMA system

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