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| Main Authors: | , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.19785 |
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| _version_ | 1866911818789683200 |
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| author | Guo, Hao Wymeersch, Henk Makki, Behrooz Chen, Hui Wu, Yibo Durisi, Giuseppe Keskin, Musa Furkan Moghaddam, Mohammad H. Madapatha, Charitha Yu, Han Hammarberg, Peter Kim, Hyowon Svensson, Tommy |
| author_facet | Guo, Hao Wymeersch, Henk Makki, Behrooz Chen, Hui Wu, Yibo Durisi, Giuseppe Keskin, Musa Furkan Moghaddam, Mohammad H. Madapatha, Charitha Yu, Han Hammarberg, Peter Kim, Hyowon Svensson, Tommy |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_19785 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Integrated Communication, Localization, and Sensing in 6G D-MIMO Networks Guo, Hao Wymeersch, Henk Makki, Behrooz Chen, Hui Wu, Yibo Durisi, Giuseppe Keskin, Musa Furkan Moghaddam, Mohammad H. Madapatha, Charitha Yu, Han Hammarberg, Peter Kim, Hyowon Svensson, Tommy Information Theory Signal Processing 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. |
| title | Integrated Communication, Localization, and Sensing in 6G D-MIMO Networks |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2403.19785 |