Integrated Communication, Localization, and Sensing in 6G D-MIMO Networks

Future generations of mobile networks call for concurrent sensing and communication functionalities using the same hardware and/or spectrum. Compared to communication, sensing services often suffer from limited coverage, due to high path loss of the reflected signal and the increased infra-structure requirements. To provide a more uniform quality of service, distributed multiple input multiple output (D-MIMO) systems deploy and control a large number of distributed nodes, making distribut-ed integrated sensing and communications (ISAC) possible. In this article, we investigate ISAC in D-MI-MO through the lens of different design architectures and deployments, revealing both conflicts and synergies. In addition, simulation and demonstration results highlight both opportunities and challenges of implementing ISAC in D-MIMO.

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Publication Details

Journal
IEEE Wireless Communications
Published
2025-03-29
DOI
https://doi.org/10.1109/mwc.007.2400117
Citations
14
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
10.23
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article

Integrated Communication, Localization, and Sensing in 6G D-MIMO Networks

Yibo Wu, Behrooz Makki, Hyowon Kim, Henk Wymeersch et al.
14 citations
IEEE Wireless Communications
Advanced MIMO Systems Optimization
10.23
article

Integrated Communication, Localization, and Sensing in 6G D-MIMO Networks

Yibo Wu, Behrooz Makki, Hyowon Kim, Henk Wymeersch, Charitha Madapatha, Giuseppe Durisi, Musa Furkan Keskin, Hao Guo, Peter Hammarberg, Tommy Svensson, Han Yu, Hui Chen, Mohammad H. Moghaddam
article en
14 citations

Abstract

Future generations of mobile networks call for concurrent sensing and communication functionalities using the same hardware and/or spectrum. Compared to communication, sensing services often suffer from limited coverage, due to high path loss of the reflected signal and the increased infra-structure requirements. To provide a more uniform quality of service, distributed multiple input multiple output (D-MIMO) systems deploy and control a large number of distributed nodes, making distribut-ed integrated sensing and communications (ISAC) possible. In this article, we investigate ISAC in D-MI-MO through the lens of different design architectures and deployments, revealing both conflicts and synergies. In addition, simulation and demonstration results highlight both opportunities and challenges of implementing ISAC in D-MIMO.

IEEE Wireless CommunicationsVol. 32(2)
Ericsson (Sweden) (SE), Chungnam National University (KR), Qamcom Research and Technology (Sweden) (SE), Chalmers University of Technology (SE)
Openalex Percentile: Top 2%
Advanced MIMO Systems Optimization
10.23
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Integrated Communication, Localization, and Sensing in 6G D-MIMO Networks — Yibo Wu, Behrooz Makki, et al. · IEEE Wireless Communications (2025) | TGRS Research Map | TGRS