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Receive Beamforming Designed for Massive Multi-User MIMO Detection via Gaussian Belief Propagation
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This paper proposes two full-digital receive beamforming (BF) methods for low-complexity and high-accuracy uplink signal detection via Gaussian belief propagation (GaBP) at base stations (BSs) adopting massive multi-input multi-output (MIMO) for open radio access network (O-RAN). In addition, beyond fifth generation mobile communication (beyond 5G) systems will increase uplink capacity. In the scenarios such as O-RAN and beyond 5G, it is vital to reduce the cost of the BSs by limiting the bandwidth of fronthaul (FH) links, and the dimensionality reduction of the received signal based on the receive BF at a radio unit is a well-known strategy to reduce the amount of data transported via the FH links. In this paper, we clarify appropriate criteria for designing a BF weight considering the subsequent GaBP signal detection with the proposed methods: singular-value-decomposition-based BF and QR-decomposition-based BF with the aid of discrete-Fourier-transformation-based spreading. Both methods achieve the dimensionality reduction without compromising the desired signal power by taking advantage of a null space of channels. The proposed receive BF methods reduce correlations between the received signals in the BF domain, which improves the robustness of GaBP against spatial correlation among fading coefficients. Simulation results assuming realistic BS and user equipment arrangement show that the proposed methods improve detection capability while significantly reducing the computational cost.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E106-B No.9 pp.758-767
- Publication Date
- 2023/09/01
- Publicized
- 2023/03/08
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2022FGP0004
- Type of Manuscript
- Special Section PAPER (Special Section on Technologies and Proof-of-Concept Activities for 5G Advanced and 6G)
- Category
Authors
Takanobu DOI
NEC Corporation
Jun SHIKIDA
NEC Corporation
Daichi SHIRASE
NEC Corporation
Kazushi MURAOKA
NEC Corporation
Naoto ISHII
NEC Corporation
Takumi TAKAHASHI
Osaka University
Shinsuke IBI
Doshisha University
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Takanobu DOI, Jun SHIKIDA, Daichi SHIRASE, Kazushi MURAOKA, Naoto ISHII, Takumi TAKAHASHI, Shinsuke IBI, "Receive Beamforming Designed for Massive Multi-User MIMO Detection via Gaussian Belief Propagation" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 9, pp. 758-767, September 2023, doi: 10.1587/transcom.2022FGP0004.
Abstract: This paper proposes two full-digital receive beamforming (BF) methods for low-complexity and high-accuracy uplink signal detection via Gaussian belief propagation (GaBP) at base stations (BSs) adopting massive multi-input multi-output (MIMO) for open radio access network (O-RAN). In addition, beyond fifth generation mobile communication (beyond 5G) systems will increase uplink capacity. In the scenarios such as O-RAN and beyond 5G, it is vital to reduce the cost of the BSs by limiting the bandwidth of fronthaul (FH) links, and the dimensionality reduction of the received signal based on the receive BF at a radio unit is a well-known strategy to reduce the amount of data transported via the FH links. In this paper, we clarify appropriate criteria for designing a BF weight considering the subsequent GaBP signal detection with the proposed methods: singular-value-decomposition-based BF and QR-decomposition-based BF with the aid of discrete-Fourier-transformation-based spreading. Both methods achieve the dimensionality reduction without compromising the desired signal power by taking advantage of a null space of channels. The proposed receive BF methods reduce correlations between the received signals in the BF domain, which improves the robustness of GaBP against spatial correlation among fading coefficients. Simulation results assuming realistic BS and user equipment arrangement show that the proposed methods improve detection capability while significantly reducing the computational cost.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2022FGP0004/_p
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@ARTICLE{e106-b_9_758,
author={Takanobu DOI, Jun SHIKIDA, Daichi SHIRASE, Kazushi MURAOKA, Naoto ISHII, Takumi TAKAHASHI, Shinsuke IBI, },
journal={IEICE TRANSACTIONS on Communications},
title={Receive Beamforming Designed for Massive Multi-User MIMO Detection via Gaussian Belief Propagation},
year={2023},
volume={E106-B},
number={9},
pages={758-767},
abstract={This paper proposes two full-digital receive beamforming (BF) methods for low-complexity and high-accuracy uplink signal detection via Gaussian belief propagation (GaBP) at base stations (BSs) adopting massive multi-input multi-output (MIMO) for open radio access network (O-RAN). In addition, beyond fifth generation mobile communication (beyond 5G) systems will increase uplink capacity. In the scenarios such as O-RAN and beyond 5G, it is vital to reduce the cost of the BSs by limiting the bandwidth of fronthaul (FH) links, and the dimensionality reduction of the received signal based on the receive BF at a radio unit is a well-known strategy to reduce the amount of data transported via the FH links. In this paper, we clarify appropriate criteria for designing a BF weight considering the subsequent GaBP signal detection with the proposed methods: singular-value-decomposition-based BF and QR-decomposition-based BF with the aid of discrete-Fourier-transformation-based spreading. Both methods achieve the dimensionality reduction without compromising the desired signal power by taking advantage of a null space of channels. The proposed receive BF methods reduce correlations between the received signals in the BF domain, which improves the robustness of GaBP against spatial correlation among fading coefficients. Simulation results assuming realistic BS and user equipment arrangement show that the proposed methods improve detection capability while significantly reducing the computational cost.},
keywords={},
doi={10.1587/transcom.2022FGP0004},
ISSN={1745-1345},
month={September},}
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TY - JOUR
TI - Receive Beamforming Designed for Massive Multi-User MIMO Detection via Gaussian Belief Propagation
T2 - IEICE TRANSACTIONS on Communications
SP - 758
EP - 767
AU - Takanobu DOI
AU - Jun SHIKIDA
AU - Daichi SHIRASE
AU - Kazushi MURAOKA
AU - Naoto ISHII
AU - Takumi TAKAHASHI
AU - Shinsuke IBI
PY - 2023
DO - 10.1587/transcom.2022FGP0004
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2023
AB - This paper proposes two full-digital receive beamforming (BF) methods for low-complexity and high-accuracy uplink signal detection via Gaussian belief propagation (GaBP) at base stations (BSs) adopting massive multi-input multi-output (MIMO) for open radio access network (O-RAN). In addition, beyond fifth generation mobile communication (beyond 5G) systems will increase uplink capacity. In the scenarios such as O-RAN and beyond 5G, it is vital to reduce the cost of the BSs by limiting the bandwidth of fronthaul (FH) links, and the dimensionality reduction of the received signal based on the receive BF at a radio unit is a well-known strategy to reduce the amount of data transported via the FH links. In this paper, we clarify appropriate criteria for designing a BF weight considering the subsequent GaBP signal detection with the proposed methods: singular-value-decomposition-based BF and QR-decomposition-based BF with the aid of discrete-Fourier-transformation-based spreading. Both methods achieve the dimensionality reduction without compromising the desired signal power by taking advantage of a null space of channels. The proposed receive BF methods reduce correlations between the received signals in the BF domain, which improves the robustness of GaBP against spatial correlation among fading coefficients. Simulation results assuming realistic BS and user equipment arrangement show that the proposed methods improve detection capability while significantly reducing the computational cost.
ER -
English
