Uplink precoding design for cell-free massive MIMO with iteratively weighted MMSE

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

doi:10.1109/tcomm.2023.3235919

Uplink precoding design for cell-free massive MIMO with iteratively weighted MMSE

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

Institute of Electronics, Communications & Information Technology

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

Abstract

In this paper, we investigate a cell-free massive multiple-input multiple-output 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) for the fully centralized processing scheme and large-scale fading decoding (LSFD) scheme. To further improve the SE performance, we design the uplink precoding schemes based on the weighted sum SE maximization. Since the weighted sum SE maximization problem is not jointly over all optimization variables, two efficient uplink precoding schemes based on Iteratively Weighted sum-Minimum Mean Square Error (I-WMMSE) algorithms, which rely on the iterative minimization of weighted Mean Square Error (MSE), are proposed for two processing schemes investigated. Furthermore, with maximum ratio combining applied in the LSFD scheme, we derive novel closed-form achievable SE expressions and optimal precoding schemes. Numerical results validate the proposed results and show that the I-WMMSE precoding schemes can achieve excellent sum SE performance with a large number of UE antennas.

Original language	English
Pages (from-to)	1646-1664
Number of pages	19
Journal	IEEE Transactions on Communications
Volume	71
Issue number	3
Early online date	10 Jan 2023
DOIs	https://doi.org/10.1109/tcomm.2023.3235919
Publication status	Published - 01 Mar 2023

Bibliographical note

Funding Information:
This work was supported in part by National Key Research and Development Program of China under Grant 2020YFB1807201, in part by National Natural Science Foundation of China under Grants 61971027 and 62221001, 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 Fundamental Research Funds for the Central Universities under Grant 2022JBQY004, in part by ZTE Corporation, and State Key Laboratory of Mobile Network and Mobile Multimedia Technology. The work of Hien Quoc Ngo was supported by the U.K. Research and Innovation Future Leaders Fellowships under Grant MR/S017666/1

Publisher Copyright:
© 1972-2012 IEEE.

Keywords

Electrical and Electronic Engineering

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/tcomm.2023.3235919Licence: Unspecified

Cite this

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title = "Uplink precoding design for cell-free massive MIMO with iteratively weighted MMSE",

abstract = "In this paper, we investigate a cell-free massive multiple-input multiple-output 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) for the fully centralized processing scheme and large-scale fading decoding (LSFD) scheme. To further improve the SE performance, we design the uplink precoding schemes based on the weighted sum SE maximization. Since the weighted sum SE maximization problem is not jointly over all optimization variables, two efficient uplink precoding schemes based on Iteratively Weighted sum-Minimum Mean Square Error (I-WMMSE) algorithms, which rely on the iterative minimization of weighted Mean Square Error (MSE), are proposed for two processing schemes investigated. Furthermore, with maximum ratio combining applied in the LSFD scheme, we derive novel closed-form achievable SE expressions and optimal precoding schemes. Numerical results validate the proposed results and show that the I-WMMSE precoding schemes can achieve excellent sum SE performance with a large number of UE antennas.",

keywords = "Electrical and Electronic Engineering",

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 Research and Development Program of China under Grant 2020YFB1807201, in part by National Natural Science Foundation of China under Grants 61971027 and 62221001, 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 Fundamental Research Funds for the Central Universities under Grant 2022JBQY004, in part by ZTE Corporation, and State Key Laboratory of Mobile Network and Mobile Multimedia Technology. The work of Hien Quoc Ngo was supported by the U.K. Research and Innovation Future Leaders Fellowships under Grant MR/S017666/1 Publisher Copyright: {\textcopyright} 1972-2012 IEEE.",

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N1 - Funding Information: This work was supported in part by National Key Research and Development Program of China under Grant 2020YFB1807201, in part by National Natural Science Foundation of China under Grants 61971027 and 62221001, 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 Fundamental Research Funds for the Central Universities under Grant 2022JBQY004, in part by ZTE Corporation, and State Key Laboratory of Mobile Network and Mobile Multimedia Technology. The work of Hien Quoc Ngo was supported by the U.K. Research and Innovation Future Leaders Fellowships under Grant MR/S017666/1 Publisher Copyright: © 1972-2012 IEEE.

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N2 - In this paper, we investigate a cell-free massive multiple-input multiple-output 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) for the fully centralized processing scheme and large-scale fading decoding (LSFD) scheme. To further improve the SE performance, we design the uplink precoding schemes based on the weighted sum SE maximization. Since the weighted sum SE maximization problem is not jointly over all optimization variables, two efficient uplink precoding schemes based on Iteratively Weighted sum-Minimum Mean Square Error (I-WMMSE) algorithms, which rely on the iterative minimization of weighted Mean Square Error (MSE), are proposed for two processing schemes investigated. Furthermore, with maximum ratio combining applied in the LSFD scheme, we derive novel closed-form achievable SE expressions and optimal precoding schemes. Numerical results validate the proposed results and show that the I-WMMSE precoding schemes can achieve excellent sum SE performance with a large number of UE antennas.

AB - In this paper, we investigate a cell-free massive multiple-input multiple-output 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) for the fully centralized processing scheme and large-scale fading decoding (LSFD) scheme. To further improve the SE performance, we design the uplink precoding schemes based on the weighted sum SE maximization. Since the weighted sum SE maximization problem is not jointly over all optimization variables, two efficient uplink precoding schemes based on Iteratively Weighted sum-Minimum Mean Square Error (I-WMMSE) algorithms, which rely on the iterative minimization of weighted Mean Square Error (MSE), are proposed for two processing schemes investigated. Furthermore, with maximum ratio combining applied in the LSFD scheme, we derive novel closed-form achievable SE expressions and optimal precoding schemes. Numerical results validate the proposed results and show that the I-WMMSE precoding schemes can achieve excellent sum SE performance with a large number of UE antennas.

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Uplink precoding design for cell-free massive MIMO with iteratively weighted MMSE

Abstract

Bibliographical note

Keywords

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