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

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arxiv 2403.19785 v1 pith:46XH6NYV submitted 2024-03-28 cs.IT eess.SPmath.IT

Hao Guo , Henk Wymeersch , Behrooz Makki , Hui Chen , Yibo Wu , Giuseppe Durisi , Musa Furkan Keskin , Mohammad H. Moghaddam
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Charitha Madapatha Han Yu Peter Hammarberg Hyowon Kim Tommy Svensson
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classification cs.ITeess.SPmath.IT
keywords d-mimosensingcommunicationdistributedisacintegratedmultiplenetworks
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Future generations of mobile networks call for concurrent sensing and communication functionalities in the same hardware and/or spectrum. Compared to communication, sensing services often suffer from limited coverage, due to the high path loss of the reflected signal and the increased infrastructure requirements. To provide a more uniform quality of service, distributed multiple input multiple output (D-MIMO) systems deploy a large number of distributed nodes and efficiently control them, making distributed integrated sensing and communications (ISAC) possible. In this paper, we investigate ISAC in D-MIMO through the lens of different design architectures and deployments, revealing both conflicts and synergies. In addition, simulation and demonstration results reveal both opportunities and challenges towards the implementation of ISAC in D-MIMO.

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Cited by 1 Pith paper

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  1. Mobility Management in Integrated Sensing and Communications Networks

    eess.SP 2025-01 conditional novelty 6.0 of 10

    Sensing handover between network nodes can maintain continuous tracking of moving objects in ISAC networks, as shown by a three-base-station simulation.

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