Iteratively Weighted MMSE Uplink Precoding for Cell-Free Massive MIMO

Zhe Wang; Jiayi Zhang; Hien Quoc Ngo; Bo Ai; Merouane Debbah

doi:10.1109/ICC45855.2022.9838843

Iteratively Weighted MMSE Uplink Precoding for Cell-Free Massive MIMO

Zhe Wang, Jiayi Zhang, Hien Quoc Ngo, Bo Ai, Merouane Debbah

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

3 Citations (Scopus)

Abstract

In this paper, we investigate a cell-free massive MIMO system with both access points and user equipments equipped with multiple antennas over the Weichselberger Rayleigh fading channel. We study the uplink spectral efficiency (SE) based on a two-layer decoding structure with maximum ratio (MR) or local minimum mean-square error (MMSE) combining applied in the first layer and optimal large-scale fading decoding method implemented in the second layer, respectively. To maximize the weighted sum SE, an uplink precoding structure based on an Iteratively Weighted sum-MMSE (I-WMMSE) algorithm using only channel statistics is proposed. Furthermore, with MR combining applied in the first layer, we derive novel achievable SE expressions and optimal precoding structures in closed-form. Numerical results validate our proposed results and show that the I-WMMSE precoding can achieve excellent sum SE performance.

Original language	English
Title of host publication	ICC 2022: IEEE International Conference on Communications
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	231-236
Number of pages	6
ISBN (Electronic)	9781538683477
DOIs	https://doi.org/10.1109/ICC45855.2022.9838843
Publication status	Published - 11 Aug 2022
Event	IEEE International Conference on Communications 2022 - Seoul, Korea, Republic of Duration: 16 May 2022 → 20 May 2022 https://icc2022.ieee-icc.org/

Publication series

Name	IEEE International Conference on Communications
Volume	2022-May
ISSN (Print)	1550-3607
ISSN (Electronic)	1938-1883

Conference

Conference	IEEE International Conference on Communications 2022
Abbreviated title	IEEE ICC 2023
Country/Territory	Korea, Republic of
City	Seoul
Period	16/05/2022 → 20/05/2022
Internet address	https://icc2022.ieee-icc.org/

Bibliographical note

Funding Information:
This work was supported in part by National Key R&D Program of China under Grant 2020YFB1807201, in part by National Natural Science Foundation of China under Grants 61971027, and 61961130391, in part by Beijing Natural Science Foundation under Grant L202013, in part by Natural Science Foundation of Jiangsu Province, Major Project under Grant BK20212002, in part by the Royal Society Newton Advanced Fellowship under Grant NA191006, in part by Frontiers Science Center for Smart High-speed Railway System.

Publisher Copyright:
© 2022 IEEE.

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC45855.2022.9838843Licence: Unspecified

Cite this

Wang, Z., Zhang, J., Ngo, H. Q., Ai, B., & Debbah, M. (2022). Iteratively Weighted MMSE Uplink Precoding for Cell-Free Massive MIMO. In ICC 2022: IEEE International Conference on Communications (pp. 231-236). (IEEE International Conference on Communications; Vol. 2022-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC45855.2022.9838843

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title = "Iteratively Weighted MMSE Uplink Precoding for Cell-Free Massive MIMO",

abstract = "In this paper, we investigate a cell-free massive MIMO system with both access points and user equipments equipped with multiple antennas over the Weichselberger Rayleigh fading channel. We study the uplink spectral efficiency (SE) based on a two-layer decoding structure with maximum ratio (MR) or local minimum mean-square error (MMSE) combining applied in the first layer and optimal large-scale fading decoding method implemented in the second layer, respectively. To maximize the weighted sum SE, an uplink precoding structure based on an Iteratively Weighted sum-MMSE (I-WMMSE) algorithm using only channel statistics is proposed. Furthermore, with MR combining applied in the first layer, we derive novel achievable SE expressions and optimal precoding structures in closed-form. Numerical results validate our proposed results and show that the I-WMMSE precoding can achieve excellent sum SE performance.",

author = "Zhe Wang and Jiayi Zhang and Ngo, {Hien Quoc} and Bo Ai and Merouane Debbah",

note = "Funding Information: This work was supported in part by National Key R&D Program of China under Grant 2020YFB1807201, in part by National Natural Science Foundation of China under Grants 61971027, and 61961130391, in part by Beijing Natural Science Foundation under Grant L202013, in part by Natural Science Foundation of Jiangsu Province, Major Project under Grant BK20212002, in part by the Royal Society Newton Advanced Fellowship under Grant NA191006, in part by Frontiers Science Center for Smart High-speed Railway System. Publisher Copyright: {\textcopyright} 2022 IEEE.; IEEE International Conference on Communications 2022, IEEE ICC 2023 ; Conference date: 16-05-2022 Through 20-05-2022",

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month = aug,

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doi = "10.1109/ICC45855.2022.9838843",

language = "English",

series = "IEEE International Conference on Communications",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Wang, Z, Zhang, J, Ngo, HQ, Ai, B & Debbah, M 2022, Iteratively Weighted MMSE Uplink Precoding for Cell-Free Massive MIMO. in ICC 2022: IEEE International Conference on Communications. IEEE International Conference on Communications, vol. 2022-May, Institute of Electrical and Electronics Engineers Inc., pp. 231-236, IEEE International Conference on Communications 2022, Seoul, Korea, Republic of, 16/05/2022. https://doi.org/10.1109/ICC45855.2022.9838843

Iteratively Weighted MMSE Uplink Precoding for Cell-Free Massive MIMO. / Wang, Zhe; Zhang, Jiayi; Ngo, Hien Quoc et al.
ICC 2022: IEEE International Conference on Communications. Institute of Electrical and Electronics Engineers Inc., 2022. p. 231-236 (IEEE International Conference on Communications; Vol. 2022-May).

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

TY - GEN

T1 - Iteratively Weighted MMSE Uplink Precoding for Cell-Free Massive MIMO

AU - Wang, Zhe

AU - Zhang, Jiayi

AU - Ngo, Hien Quoc

AU - Ai, Bo

AU - Debbah, Merouane

N1 - Funding Information: This work was supported in part by National Key R&D Program of China under Grant 2020YFB1807201, in part by National Natural Science Foundation of China under Grants 61971027, and 61961130391, in part by Beijing Natural Science Foundation under Grant L202013, in part by Natural Science Foundation of Jiangsu Province, Major Project under Grant BK20212002, in part by the Royal Society Newton Advanced Fellowship under Grant NA191006, in part by Frontiers Science Center for Smart High-speed Railway System. Publisher Copyright: © 2022 IEEE.

PY - 2022/8/11

Y1 - 2022/8/11

N2 - In this paper, we investigate a cell-free massive MIMO system with both access points and user equipments equipped with multiple antennas over the Weichselberger Rayleigh fading channel. We study the uplink spectral efficiency (SE) based on a two-layer decoding structure with maximum ratio (MR) or local minimum mean-square error (MMSE) combining applied in the first layer and optimal large-scale fading decoding method implemented in the second layer, respectively. To maximize the weighted sum SE, an uplink precoding structure based on an Iteratively Weighted sum-MMSE (I-WMMSE) algorithm using only channel statistics is proposed. Furthermore, with MR combining applied in the first layer, we derive novel achievable SE expressions and optimal precoding structures in closed-form. Numerical results validate our proposed results and show that the I-WMMSE precoding can achieve excellent sum SE performance.

AB - In this paper, we investigate a cell-free massive MIMO system with both access points and user equipments equipped with multiple antennas over the Weichselberger Rayleigh fading channel. We study the uplink spectral efficiency (SE) based on a two-layer decoding structure with maximum ratio (MR) or local minimum mean-square error (MMSE) combining applied in the first layer and optimal large-scale fading decoding method implemented in the second layer, respectively. To maximize the weighted sum SE, an uplink precoding structure based on an Iteratively Weighted sum-MMSE (I-WMMSE) algorithm using only channel statistics is proposed. Furthermore, with MR combining applied in the first layer, we derive novel achievable SE expressions and optimal precoding structures in closed-form. Numerical results validate our proposed results and show that the I-WMMSE precoding can achieve excellent sum SE performance.

U2 - 10.1109/ICC45855.2022.9838843

DO - 10.1109/ICC45855.2022.9838843

M3 - Conference contribution

AN - SCOPUS:85137274789

T3 - IEEE International Conference on Communications

SP - 231

EP - 236

BT - ICC 2022: IEEE International Conference on Communications

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Communications 2022

Y2 - 16 May 2022 through 20 May 2022

ER -

Iteratively Weighted MMSE Uplink Precoding for Cell-Free Massive MIMO

Abstract

Publication series

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Bibliographical note

ASJC Scopus subject areas

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