Joint Communications and Sensing Design for Multi-Carrier MIMO Systems

Nhan Thanh Nguyen; Nir Shlezinger; Khac Hoang Ngo; Van Dinh Nguyen; Markku Juntti

doi:10.1109/SSP53291.2023.10207952

Joint Communications and Sensing Design for Multi-Carrier MIMO Systems

Nhan Thanh Nguyen, Nir Shlezinger, Khac Hoang Ngo, Van Dinh Nguyen, Markku Juntti

Department of Electrical & Computer Engineering

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

2 Scopus citations

Abstract

In conventional joint communications and sensing (JCAS) designs for multi-carrier multiple-input multiple-output (MIMO) systems, the dual-functional waveforms are often optimized for the whole frequency band, resulting in limited communications-sensing performance tradeoff. To overcome the limitation, we propose employing a subset of subcarriers for JCAS, while the communications function is performed over all the subcarriers. This offers more degrees of freedom to enhance the communications performance under a given sensing accuracy. We first formulate the rate maximization under the sensing accuracy constraint to optimize the beamformers and JCAS subcarriers. The problem is solved via Riemannian manifold optimization and closed-form solutions. Numerical results for an 8 × 4 MIMO system with 64 subcarriers show that compared to the conventional subcarrier sharing scheme, the proposed scheme employing 16 JCAS subcarriers offers 60% improvement in the achievable communications rate at the signal-to-noise ratio of 10 dB. Meanwhile, this scheme generates the sensing beampattern with the same quality as the conventional JCAS design.

Original language	English
Title of host publication	Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023
Publisher	Institute of Electrical and Electronics Engineers
Pages	110-114
Number of pages	5
ISBN (Electronic)	9781665452458
DOIs	https://doi.org/10.1109/SSP53291.2023.10207952
State	Published - 1 Jan 2023
Event	22nd IEEE Statistical Signal Processing Workshop, SSP 2023 - Hanoi, Viet Nam Duration: 2 Jul 2023 → 5 Jul 2023

Publication series

Name	IEEE Workshop on Statistical Signal Processing Proceedings
Volume	2023-July

Conference

Conference	22nd IEEE Statistical Signal Processing Workshop, SSP 2023
Country/Territory	Viet Nam
City	Hanoi
Period	2/07/23 → 5/07/23

Keywords

Joint communications and sensing (JCAS)
MIMO-OFDM
dual-functional radar-communications (DFRC)

ASJC Scopus subject areas

Electrical and Electronic Engineering
Applied Mathematics
Signal Processing
Computer Science Applications

Access to Document

10.1109/SSP53291.2023.10207952

Cite this

Nguyen, N. T., Shlezinger, N., Ngo, K. H., Nguyen, V. D., & Juntti, M. (2023). Joint Communications and Sensing Design for Multi-Carrier MIMO Systems. In Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023 (pp. 110-114). (IEEE Workshop on Statistical Signal Processing Proceedings; Vol. 2023-July). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SSP53291.2023.10207952

@inproceedings{da2774577bce431baf28a4897367ee79,

title = "Joint Communications and Sensing Design for Multi-Carrier MIMO Systems",

abstract = "In conventional joint communications and sensing (JCAS) designs for multi-carrier multiple-input multiple-output (MIMO) systems, the dual-functional waveforms are often optimized for the whole frequency band, resulting in limited communications-sensing performance tradeoff. To overcome the limitation, we propose employing a subset of subcarriers for JCAS, while the communications function is performed over all the subcarriers. This offers more degrees of freedom to enhance the communications performance under a given sensing accuracy. We first formulate the rate maximization under the sensing accuracy constraint to optimize the beamformers and JCAS subcarriers. The problem is solved via Riemannian manifold optimization and closed-form solutions. Numerical results for an 8 × 4 MIMO system with 64 subcarriers show that compared to the conventional subcarrier sharing scheme, the proposed scheme employing 16 JCAS subcarriers offers 60% improvement in the achievable communications rate at the signal-to-noise ratio of 10 dB. Meanwhile, this scheme generates the sensing beampattern with the same quality as the conventional JCAS design.",

keywords = "Joint communications and sensing (JCAS), MIMO-OFDM, dual-functional radar-communications (DFRC)",

author = "Nguyen, {Nhan Thanh} and Nir Shlezinger and Ngo, {Khac Hoang} and Nguyen, {Van Dinh} and Markku Juntti",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 22nd IEEE Statistical Signal Processing Workshop, SSP 2023 ; Conference date: 02-07-2023 Through 05-07-2023",

year = "2023",

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doi = "10.1109/SSP53291.2023.10207952",

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Nguyen, NT, Shlezinger, N, Ngo, KH, Nguyen, VD & Juntti, M 2023, Joint Communications and Sensing Design for Multi-Carrier MIMO Systems. in Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023. IEEE Workshop on Statistical Signal Processing Proceedings, vol. 2023-July, Institute of Electrical and Electronics Engineers, pp. 110-114, 22nd IEEE Statistical Signal Processing Workshop, SSP 2023, Hanoi, Viet Nam, 2/07/23. https://doi.org/10.1109/SSP53291.2023.10207952

Joint Communications and Sensing Design for Multi-Carrier MIMO Systems. / Nguyen, Nhan Thanh; Shlezinger, Nir; Ngo, Khac Hoang et al.
Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023. Institute of Electrical and Electronics Engineers, 2023. p. 110-114 (IEEE Workshop on Statistical Signal Processing Proceedings; Vol. 2023-July).

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

TY - GEN

T1 - Joint Communications and Sensing Design for Multi-Carrier MIMO Systems

AU - Nguyen, Nhan Thanh

AU - Shlezinger, Nir

AU - Ngo, Khac Hoang

AU - Nguyen, Van Dinh

AU - Juntti, Markku

PY - 2023/1/1

Y1 - 2023/1/1

N2 - In conventional joint communications and sensing (JCAS) designs for multi-carrier multiple-input multiple-output (MIMO) systems, the dual-functional waveforms are often optimized for the whole frequency band, resulting in limited communications-sensing performance tradeoff. To overcome the limitation, we propose employing a subset of subcarriers for JCAS, while the communications function is performed over all the subcarriers. This offers more degrees of freedom to enhance the communications performance under a given sensing accuracy. We first formulate the rate maximization under the sensing accuracy constraint to optimize the beamformers and JCAS subcarriers. The problem is solved via Riemannian manifold optimization and closed-form solutions. Numerical results for an 8 × 4 MIMO system with 64 subcarriers show that compared to the conventional subcarrier sharing scheme, the proposed scheme employing 16 JCAS subcarriers offers 60% improvement in the achievable communications rate at the signal-to-noise ratio of 10 dB. Meanwhile, this scheme generates the sensing beampattern with the same quality as the conventional JCAS design.

AB - In conventional joint communications and sensing (JCAS) designs for multi-carrier multiple-input multiple-output (MIMO) systems, the dual-functional waveforms are often optimized for the whole frequency band, resulting in limited communications-sensing performance tradeoff. To overcome the limitation, we propose employing a subset of subcarriers for JCAS, while the communications function is performed over all the subcarriers. This offers more degrees of freedom to enhance the communications performance under a given sensing accuracy. We first formulate the rate maximization under the sensing accuracy constraint to optimize the beamformers and JCAS subcarriers. The problem is solved via Riemannian manifold optimization and closed-form solutions. Numerical results for an 8 × 4 MIMO system with 64 subcarriers show that compared to the conventional subcarrier sharing scheme, the proposed scheme employing 16 JCAS subcarriers offers 60% improvement in the achievable communications rate at the signal-to-noise ratio of 10 dB. Meanwhile, this scheme generates the sensing beampattern with the same quality as the conventional JCAS design.

KW - Joint communications and sensing (JCAS)

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KW - dual-functional radar-communications (DFRC)

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Y2 - 2 July 2023 through 5 July 2023

ER -

Nguyen NT, Shlezinger N, Ngo KH, Nguyen VD, Juntti M. Joint Communications and Sensing Design for Multi-Carrier MIMO Systems. In Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023. Institute of Electrical and Electronics Engineers. 2023. p. 110-114. (IEEE Workshop on Statistical Signal Processing Proceedings). doi: 10.1109/SSP53291.2023.10207952

Joint Communications and Sensing Design for Multi-Carrier MIMO Systems

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Keywords

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