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

WANG Dan; LIANG Jiamin; MEI Zhiqiang; LIU Jinzhi

doi:10.11999/JEIT211271

Volume 44 Issue 7

Jul. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(7): 2400-2406

WANG Dan, LIANG Jiamin, MEI Zhiqiang, LIU Jinzhi. Millimeter-wave Channel Estimation with Intelligent Reflecting Surface Assisted Based on Vector Approximate Message Passing[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2400-2406. doi: 10.11999/JEIT211271

Citation:

WANG Dan, LIANG Jiamin, MEI Zhiqiang, LIU Jinzhi. Millimeter-wave Channel Estimation with Intelligent Reflecting Surface Assisted Based on Vector Approximate Message Passing[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2400-2406. doi: 10.11999/JEIT211271

Citation:

WANG Dan, LIANG Jiamin, MEI Zhiqiang, LIU Jinzhi. Millimeter-wave Channel Estimation with Intelligent Reflecting Surface Assisted Based on Vector Approximate Message Passing[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2400-2406. doi: 10.11999/JEIT211271

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

doi: 10.11999/JEIT211271

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)

Received Date: 2021-11-16
Rev Recd Date: 2022-03-25

Available Online: 2022-04-02

Publish Date: 2022-07-25

Abstract

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)

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References(19)

References

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