Channel Estimation for Intelligent Reflecting Surface Assisted MmWave Systems Using Analog Feedback

Sucheol Kim; Hyeongtaek Lee; Jihoon Cha; Junil Choi

doi:10.1109/SAM53842.2022.9827784

Channel Estimation for Intelligent Reflecting Surface Assisted MmWave Systems Using Analog Feedback

Sucheol Kim
, Hyeongtaek Lee
, Jihoon Cha
, Junil Choi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, a practical millimeter-wave (mmWave) channel estimation technique for intelligent reflecting surface (IRS)-assisted single-user multiple-input multiple-output (SU-MIMO) systems is proposed. The proposed technique utilizes both uplink and downlink signalings as well as analog feedback. While the typical estimation techniques require high training overhead, the proposed technique employs an extremely short training sequence length. It is verified through the simulations that the proposed estimation technique can achieve a higher effective spectral efficiency due to its low training overhead than that of existing estimation methods.

Original language	English
Title of host publication	2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022
Publisher	IEEE Computer Society
Pages	196-200
Number of pages	5
ISBN (Electronic)	9781665406338
DOIs	https://doi.org/10.1109/SAM53842.2022.9827784
State	Published - 2022
Event	12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 - Trondheim, Norway Duration: 20 Jun 2022 → 23 Jun 2022

Publication series

Name	Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume	2022-June
ISSN (Electronic)	2151-870X

Conference

Conference	12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022
Country/Territory	Norway
City	Trondheim
Period	20/06/22 → 23/06/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Access to Document

10.1109/SAM53842.2022.9827784

Cite this

Kim, S., Lee, H., Cha, J., & Choi, J. (2022). Channel Estimation for Intelligent Reflecting Surface Assisted MmWave Systems Using Analog Feedback. In 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 (pp. 196-200). (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; Vol. 2022-June). IEEE Computer Society. https://doi.org/10.1109/SAM53842.2022.9827784

@inproceedings{a1aeb5e31b9a40b5889f679ff78a0114,

title = "Channel Estimation for Intelligent Reflecting Surface Assisted MmWave Systems Using Analog Feedback",

abstract = "In this paper, a practical millimeter-wave (mmWave) channel estimation technique for intelligent reflecting surface (IRS)-assisted single-user multiple-input multiple-output (SU-MIMO) systems is proposed. The proposed technique utilizes both uplink and downlink signalings as well as analog feedback. While the typical estimation techniques require high training overhead, the proposed technique employs an extremely short training sequence length. It is verified through the simulations that the proposed estimation technique can achieve a higher effective spectral efficiency due to its low training overhead than that of existing estimation methods.",

author = "Sucheol Kim and Hyeongtaek Lee and Jihoon Cha and Junil Choi",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 ; Conference date: 20-06-2022 Through 23-06-2022",

year = "2022",

doi = "10.1109/SAM53842.2022.9827784",

language = "English",

series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",

publisher = "IEEE Computer Society",

pages = "196--200",

booktitle = "2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022",

}

Kim, S, Lee, H, Cha, J & Choi, J 2022, Channel Estimation for Intelligent Reflecting Surface Assisted MmWave Systems Using Analog Feedback. in 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, vol. 2022-June, IEEE Computer Society, pp. 196-200, 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022, Trondheim, Norway, 20/06/22. https://doi.org/10.1109/SAM53842.2022.9827784

Channel Estimation for Intelligent Reflecting Surface Assisted MmWave Systems Using Analog Feedback. / Kim, Sucheol; Lee, Hyeongtaek; Cha, Jihoon et al.
2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022. IEEE Computer Society, 2022. p. 196-200 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; Vol. 2022-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2022

Y1 - 2022

N2 - In this paper, a practical millimeter-wave (mmWave) channel estimation technique for intelligent reflecting surface (IRS)-assisted single-user multiple-input multiple-output (SU-MIMO) systems is proposed. The proposed technique utilizes both uplink and downlink signalings as well as analog feedback. While the typical estimation techniques require high training overhead, the proposed technique employs an extremely short training sequence length. It is verified through the simulations that the proposed estimation technique can achieve a higher effective spectral efficiency due to its low training overhead than that of existing estimation methods.

AB - In this paper, a practical millimeter-wave (mmWave) channel estimation technique for intelligent reflecting surface (IRS)-assisted single-user multiple-input multiple-output (SU-MIMO) systems is proposed. The proposed technique utilizes both uplink and downlink signalings as well as analog feedback. While the typical estimation techniques require high training overhead, the proposed technique employs an extremely short training sequence length. It is verified through the simulations that the proposed estimation technique can achieve a higher effective spectral efficiency due to its low training overhead than that of existing estimation methods.

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M3 - Conference contribution

AN - SCOPUS:85135375041

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T2 - 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022

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ER -

Kim S, Lee H, Cha J, Choi J. Channel Estimation for Intelligent Reflecting Surface Assisted MmWave Systems Using Analog Feedback. In 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022. IEEE Computer Society. 2022. p. 196-200. (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop). doi: 10.1109/SAM53842.2022.9827784

Channel Estimation for Intelligent Reflecting Surface Assisted MmWave Systems Using Analog Feedback

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