Low-complexity transmit beamforming design for massive MIMO-ISAC systems

Bin Liao; Hien Quoc Ngo; Michalis Matthaiou; Peter J. Smith

doi:10.1109/GLOBECOM54140.2023.10437011

Low-complexity transmit beamforming design for massive MIMO-ISAC systems

Bin Liao, Hien Quoc Ngo, Michalis Matthaiou, Peter J. Smith

School of Electronics, Electrical Engineering and Computer Science

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

2 Citations (Scopus)

104 Downloads (Pure)

Abstract

In this paper, we consider the problem of transmit beamforming design for massive multiple-input multiple-output integrated sensing and communications (MMIMO-ISAC) systems. Different from the existing designs for regular MIMO-ISAC systems, which directly optimize the dual-function beamformer matrix and are computationally expensive especially for large-scale antenna arrays, we propose to construct the beamformer as a weighted sum of the maximum ratio precoder and a desired sensing beamformer. This is motivated by the fact that maximum ratio precoding schemes are simple, and performs well in MMIMO systems. The weights involved in the beamformer are adjusted via optimizing the powers allocated to the users and sensing. A linear programming (LP) problem, which minimizes the total transmit power subject to the performance constraints of communication and sensing, is thus formulated. It is shown that the LP problem can be analytically solved. Therefore, the proposed transmit beamforming design has very low computational complexity. Its effectiveness and performance are illustrated by simulations.

Original language	English
Title of host publication	2023 IEEE Global Communications Conference (GLOBECOM): proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
ISBN (Electronic)	9798350310900
ISBN (Print)	9798350310917
DOIs	https://doi.org/10.1109/GLOBECOM54140.2023.10437011
Publication status	Published - 26 Feb 2024
Event	IEEE Global Communications Conference 2023 - Kuala Lumpur, Malaysia Duration: 04 Dec 2023 → 08 Dec 2023 https://globecom2023.ieee-globecom.org/

Publication series

Name	GLOBECOM Proceedings
ISSN (Print)	2576-6813

Conference

Conference	IEEE Global Communications Conference 2023
Abbreviated title	GLOBECOM 2023
Country/Territory	Malaysia
City	Kuala Lumpur
Period	04/12/2023 → 08/12/2023
Internet address	https://globecom2023.ieee-globecom.org/

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Low-complexity transmit beamforming design for massive MIMO-ISAC systems
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Accepted author manuscript, 350 KBLicence: Unspecified

Cite this

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title = "Low-complexity transmit beamforming design for massive MIMO-ISAC systems",

abstract = "In this paper, we consider the problem of transmit beamforming design for massive multiple-input multiple-output integrated sensing and communications (MMIMO-ISAC) systems. Different from the existing designs for regular MIMO-ISAC systems, which directly optimize the dual-function beamformer matrix and are computationally expensive especially for large-scale antenna arrays, we propose to construct the beamformer as a weighted sum of the maximum ratio precoder and a desired sensing beamformer. This is motivated by the fact that maximum ratio precoding schemes are simple, and performs well in MMIMO systems. The weights involved in the beamformer are adjusted via optimizing the powers allocated to the users and sensing. A linear programming (LP) problem, which minimizes the total transmit power subject to the performance constraints of communication and sensing, is thus formulated. It is shown that the LP problem can be analytically solved. Therefore, the proposed transmit beamforming design has very low computational complexity. Its effectiveness and performance are illustrated by simulations.",

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Liao, B, Ngo, HQ , Matthaiou, M & Smith, PJ 2024, Low-complexity transmit beamforming design for massive MIMO-ISAC systems. in 2023 IEEE Global Communications Conference (GLOBECOM): proceedings. GLOBECOM Proceedings, Institute of Electrical and Electronics Engineers Inc., IEEE Global Communications Conference 2023, Kuala Lumpur, Malaysia, 04/12/2023. https://doi.org/10.1109/GLOBECOM54140.2023.10437011

Low-complexity transmit beamforming design for massive MIMO-ISAC systems. / Liao, Bin; Ngo, Hien Quoc ; Matthaiou, Michalis et al.
2023 IEEE Global Communications Conference (GLOBECOM): proceedings. Institute of Electrical and Electronics Engineers Inc., 2024. (GLOBECOM Proceedings).

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

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T1 - Low-complexity transmit beamforming design for massive MIMO-ISAC systems

AU - Liao, Bin

AU - Ngo, Hien Quoc

AU - Matthaiou, Michalis

AU - Smith, Peter J.

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N2 - In this paper, we consider the problem of transmit beamforming design for massive multiple-input multiple-output integrated sensing and communications (MMIMO-ISAC) systems. Different from the existing designs for regular MIMO-ISAC systems, which directly optimize the dual-function beamformer matrix and are computationally expensive especially for large-scale antenna arrays, we propose to construct the beamformer as a weighted sum of the maximum ratio precoder and a desired sensing beamformer. This is motivated by the fact that maximum ratio precoding schemes are simple, and performs well in MMIMO systems. The weights involved in the beamformer are adjusted via optimizing the powers allocated to the users and sensing. A linear programming (LP) problem, which minimizes the total transmit power subject to the performance constraints of communication and sensing, is thus formulated. It is shown that the LP problem can be analytically solved. Therefore, the proposed transmit beamforming design has very low computational complexity. Its effectiveness and performance are illustrated by simulations.

AB - In this paper, we consider the problem of transmit beamforming design for massive multiple-input multiple-output integrated sensing and communications (MMIMO-ISAC) systems. Different from the existing designs for regular MIMO-ISAC systems, which directly optimize the dual-function beamformer matrix and are computationally expensive especially for large-scale antenna arrays, we propose to construct the beamformer as a weighted sum of the maximum ratio precoder and a desired sensing beamformer. This is motivated by the fact that maximum ratio precoding schemes are simple, and performs well in MMIMO systems. The weights involved in the beamformer are adjusted via optimizing the powers allocated to the users and sensing. A linear programming (LP) problem, which minimizes the total transmit power subject to the performance constraints of communication and sensing, is thus formulated. It is shown that the LP problem can be analytically solved. Therefore, the proposed transmit beamforming design has very low computational complexity. Its effectiveness and performance are illustrated by simulations.

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M3 - Conference contribution

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BT - 2023 IEEE Global Communications Conference (GLOBECOM): proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE Global Communications Conference 2023

Y2 - 4 December 2023 through 8 December 2023

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Low-complexity transmit beamforming design for massive MIMO-ISAC systems

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