基于矢量近似消息传递的智能反射面辅助毫米波信道估计

王丹; 梁家敏; 梅志强; 刘金枝

doi:10.11999/JEIT211271

基于矢量近似消息传递的智能反射面辅助毫米波信道估计

doi: 10.11999/JEIT211271

王丹^{1, 2, 3},
梁家敏^1, ,,
梅志强¹,
刘金枝¹

1.
重庆邮电大学通信与信息工程学院重庆 400065
2.
移动通信技术重庆市重点实验室重庆 400065
3.
移动通信教育部工程研究中心重庆 400065

基金项目: 国家科技重大专项(2017ZX03001021)，重庆市自然科学基金(cstc2021jcyj-msxmX0454)

详细信息

作者简介:
王丹：女，1982年生，正高级工程师，研究方向为5G物理层协议、数字信号处理器软件

梁家敏：女，1997年生，硕士生，研究方向为5G物理层协议与算法、6G智能反射面

梅志强：男，1997年生，硕士生，研究方向为5G物理层协议与算法

刘金枝：女，1997年生，硕士生，研究方向为5G物理层协议与算法、6G智能反射面

通讯作者:
梁家敏　1418155208@qq.com

中图分类号: TN929.5
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出版历程
- 收稿日期: 2021-11-16
- 修回日期: 2022-03-25
- 网络出版日期: 2022-04-02
- 刊出日期: 2022-07-25

Millimeter-wave Channel Estimation with Intelligent Reflecting Surface Assisted Based on Vector Approximate Message Passing

WANG Dan^{1, 2, 3},
LIANG Jiamin^{1
, ,},
MEI Zhiqiang¹,
LIU Jinzhi¹

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Chongqing Key Laboratory of Mobile Communications Technology, Chongqing 400065, China
3.
Engineering Research Center of Mobile Communications of the Ministry of Education, Chongqing 400065, China

Funds: The National Science and Technology Major Project (2017ZX03001021), Chongqing Natural Science Foundation Project (cstc2021jcyj-msxmX0454)

摘要

摘要: 毫米波属于一种典型的视距传输方式，其受大气吸收影响严重。针对毫米波的非视距传播受限，该文通过智能反射面(IRS)辅助毫米波通信，提出结合Khatri-Rao积的矢量近似消息传递(KR-VAMP)算法来提高毫米波通信系统的信道估计质量。该算法基于Khatri-Rao积将级联信道问题转换为稀疏信号恢复问题，并结合VAMP的矢量和迭代阈值算法的优势，使得整个IRS辅助毫米波系统在减少训练迭代次数的同时，降低了整个系统的信道估计误差。最后通过仿真结果对比，分析了各变量对信道估计的均方误差(MMSE)的影响，以及MMSE随着迭代次数的收敛情况，验证了此算法对比其他近似消息传递(AMP)算法具有更好的性能。
- 信道估计 /
- 智能反射面 /
- 毫米波 /
- 矢量近似消息传递
Abstract: Millimeter-wave is a typical line-of-sight transmission method, which is seriously affected by atmospheric absorption. Aiming at the limited non-line-of-sight propagation of millimeter waves, Intelligent Reflecting Surface (IRS) is used to assist millimeter-wave communications, and the Khatri-Rao product combined with the Vector Approximate Message Passing (KR-VAMP) algorithm is proposed, which can improve the channel estimation quality of the millimeter-wave communication systems. By adopting the Khatri-Rao product, the cascaded channel problem is transformed into a sparse signal recovery problem. The proposed algorithm combines with the advantages of the VAMP’s vector and iterative threshold algorithm. The number of training iterations and the channel estimation error are reduced in the IRS-assisted millimeter-wave system. Finally, based on simulation results, the influence of each variable on the Mean Square Error (MMSE) of channel estimation and the convergence of MMSE with the number of iterations are analyzed. It also verifies that the algorithm has better performance than other Approximate Message Passing (AMP) algorithms.
- Channel estimation /
- Intelligent Reflecting Surface(IRS) /
- Millimeter-wave /
- Vector Approximate Message Passing(VAMP)

HTML全文

图 1 IRS辅助通信示意图

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图 2 基站、IRS与用户之间的位置关系图

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图 3 因子转换图

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图 4 基站、IRS和用户的位置示意图

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图 5 不同迭代初始值条件下的均方误差

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图 6 不同噪声功率条件下的均方误差

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图 7 算法不同迭代次数下的均方误差

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