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RIS辅助MIMO NOMA系统中利用统计CSI的下行传输方法

陆佳程 王斌 张军 倪艺洋

陆佳程, 王斌, 张军, 倪艺洋. RIS辅助MIMO NOMA系统中利用统计CSI的下行传输方法[J]. 电子与信息学报. doi: 10.11999/JEIT230630
引用本文: 陆佳程, 王斌, 张军, 倪艺洋. RIS辅助MIMO NOMA系统中利用统计CSI的下行传输方法[J]. 电子与信息学报. doi: 10.11999/JEIT230630
LU Jiacheng, WANG Bin, ZHANG Jun, NI Yiyang. Downlink Transmission for RIS-Assisted MIMO NOMA by Exploiting Statistical CSI[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT230630
Citation: LU Jiacheng, WANG Bin, ZHANG Jun, NI Yiyang. Downlink Transmission for RIS-Assisted MIMO NOMA by Exploiting Statistical CSI[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT230630

RIS辅助MIMO NOMA系统中利用统计CSI的下行传输方法

doi: 10.11999/JEIT230630
基金项目: 国家自然科学基金(62071247),江苏省高校自然科学基金(BK2021022532)
详细信息
    作者简介:

    陆佳程:男,博士生,研究方向为超大规模MIMO、毫米波通信、NOMA

    王斌:男,硕士,研究方向为大规模MIMO, NOMA

    张军:男,博士,教授,研究方向为超大规模MIMO、无人机通信、人工智能通信、毫米波通信、RIS辅助通信以及物理层安全等

    倪艺洋:女,博士,教授,研究方向为智能无线通信、智能超表面等

    通讯作者:

    张军 zhangjun@njupt.edu.cn

  • 中图分类号: TN92

Downlink Transmission for RIS-Assisted MIMO NOMA by Exploiting Statistical CSI

Funds: The National Natural Science Foundation of China (62071247), The Natural Science Foundation of Jiangsu Province (BK2021022532)
  • 摘要: 针对可重构智能反射表面(RIS)辅助多输入多输出(MIMO)非正交多址接入(NOMA)下行传输系统,该文提出利用统计信道状态信息(CSI)的基站发送协方差矩阵与RIS相移矩阵设计方法。首先,在莱斯空间相关信道假设下,利用大维随机矩阵理论,推导了RIS辅助MIMO NOMA系统遍历和速率的确定性表达式;然后,在弱用户速率约束与发送功率受限的条件下,通过最大化确定性大系统近似和速率,利用统计CSI,分别设计了强、弱用户的次优发送协方差矩阵和RIS的相移矩阵。仿真结果表明,所推导的近似表达式具有很好的近似效果,所设计的发送协方差矩阵和相移矩阵能显著提升系统的和速率。
  • 图  1  基于RIS辅助的MIMO NOMA下行无线通信系统

    图  2  遍历和速率及其确定性等价表达式与BS发送功率的关系

    图  5  遍历和速率和BS与RIS间距离的关系

    图  3  交替优化算法的收敛性

    图  4  遍历和速率与RIS反射单元数量的关系

    图  6  空间相关性对系统性能影响

    表  1  默认仿真参数设置

    总功率$ P $ 噪声功率 弱用户速率需求$ {R_0} $ 角度拓展$ {\delta _i} $ 平均角度 试验次数
    30 dBm –80 dBm 1.5 bps/Hz $ {10^ \circ } $ $ \begin{gathered} {\theta _{{T_1}}} = {\theta _{{T_2}}} = {0^ \circ },{\theta _{{T_3}}} = {10^ \circ } \\ {\theta _{{R_1}}} = {\theta _{{R_2}}} = - {5^ \circ },{\theta _{{R_3}}} = {5^ \circ } \\ \end{gathered} $ $ {10^4} $
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-06-25
  • 修回日期:  2023-12-16
  • 网络出版日期:  2023-12-25

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