Low-power transmission method for uplink millimeter-wave massive MIMO-NOMA system based on GSIC

Hui WANG; Qixin TAI; Liu LIU; Hong WANG; Rongfang SONG

doi:10.11959/j.issn.1000-0801.2023010

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Low-power transmission method for uplink millimeter-wave massive MIMO-NOMA system based on GSIC

Research and Development | 更新时间：2024-06-05

- Low-power transmission method for uplink millimeter-wave massive MIMO-NOMA system based on GSIC
- Telecommunications Science Vol. 39, Issue 1, Pages: 51-59(2023)
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- DOI：10.11959/j.issn.1000-0801.2023010
  CLC： TN929.5
- Published Online：2023-01，
  
  Published：20 January 2023
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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：

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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