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基于GSIC的上行链路毫米波大规模MIMO-NOMA系统低功耗传输方法
Low-power transmission method for uplink millimeter-wave massive MIMO-NOMA system based on GSIC
- 电信科学 2023年39卷第1期 页码：51-59
- 作者机构：
- 作者简介：
[ "王晖（1997- ），男，南京邮电大学通信与信息工程学院硕士生，主要研究方向为无线通信系统、毫米波大规模MIMO-NOMA" ]
[ "邰其心（1991- ），男，南京邮电大学通信与信息工程学院博士生，主要研究方向为面向6G的宽带无线传输技术" ]
[ "刘镠（2000- ），男，南京邮电大学大学通信与信息工程学院硕士生，主要研究方向为无线通信系统、毫米波大规模MIMO-NOMA" ]
[ "王鸿（1989- ），男，博士，南京邮电大学通信与信息工程学院副教授、硕士生导师，主要研究方向为宽带无线通信理论与技术" ]
[ "宋荣方（1964- ），男，博士，南京邮电大学通信与信息工程学院教授、博士生导师，主要研究方向为宽带无线通信理论与技术" ]
- 基金信息：国家自然科学基金资助项目;The National Natural Science Foundation of China(62171235);中国电信产学研合作项目;China Telecom Cooperation Project
DOI：10.11959/j.issn.1000-0801.2023010
中图分类号： TN929.5-
网络出版日期：2023-01，
纸质出版日期：2023-01-20
- 稿件说明：
移动端阅览
王晖, 邰其心, 刘镠, 等. 基于GSIC的上行链路毫米波大规模MIMO-NOMA系统低功耗传输方法[J]. 电信科学, 2023,39(1):51-59.
Hui WANG, Qixin TAI, Liu LIU, et al. Low-power transmission method for uplink millimeter-wave massive MIMO-NOMA system based on GSIC[J]. Telecommunications science, 2023, 39(1): 51-59.
王晖, 邰其心, 刘镠, 等. 基于GSIC的上行链路毫米波大规模MIMO-NOMA系统低功耗传输方法[J]. 电信科学, 2023,39(1):51-59. DOI： 10.11959/j.issn.1000-0801.2023010.
Hui WANG, Qixin TAI, Liu LIU, et al. Low-power transmission method for uplink millimeter-wave massive MIMO-NOMA system based on GSIC[J]. Telecommunications science, 2023, 39(1): 51-59. DOI： 10.11959/j.issn.1000-0801.2023010.
摘要
非正交多址接入（non-orthogonal multiple access，NOMA）和毫米波大规模多输入多输出（multiple-input multiple-output，MIMO）的结合能够支持未来无线通信网络的巨流量大连接需求。研究了上行链路毫米波大规模MIMO-NOMA系统中的功率最小化问题，提出了基于群体串行干扰消除（group-level successive interference cancellation，GSIC）的混合波束成形毫米波MIMO-NOMA上行传输系统新架构。具体来说，根据信道增益对用户进行群体划分，不同群体用户由NOMA服务，群体内用户采用空分多址区分。通过给不同群体设计模拟波束成形矩阵，对数字波束成形和功率控制进行联合优化，提出了一种并行迭代算法来解决优化问题。仿真结果表明，所提出的新架构在总功率方面优于传统的基于分簇和用户级串行干扰消除的毫米波大规模MIMO-NOMA。
Abstract
The combination of non-orthogonal multiple access (NOMA) and millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) can meet the requirements for huge throughput and massive connectivity in future wireless communication network.The total system power minimization for uplink mmWave massive MIMO-NOMA was studied
and a novel framework for a hybrid beamforming mmWave massive MIMO-NOMA uplink transmission system was proposed based on group-level successive interference cancellation (GSIC).Specifically
users were grouped according to channel gain
intergroup users being served by NOMA and intra group users being served by space division multiple access.By designing analog beamforming matrices for different groups and performing joint optimization for digital beamforming and power control
a parallel iterative algorithm was proposed to solve the optimization problem.Simulation results show that the proposed method outperforms the conventional mmWave massive MIMO-NOMA based on clustering and user-level SIC in terms of total power consumption.
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references
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