Cell-free integrated sensing and communications with hybrid beamforming
Cell-free integrated sensing and communications with hybrid beamforming
The cell-free (CF) massive multiple-input multiple-output (MIMO) architecture offers significant advantages in terms of energy and hardware efficiency compared to centralized MIMO systems. It is particularly beneficial for the integrated sensing and communications (ISAC) paradigm, as the distributed nature of access points in CF-MIMO improves target detection probability. In this study, we focus on hybrid beamformer design for CF-ISAC scenarios, aiming to maximize the sensing signal-to-noise ratio (SNR) while maintaining a communications signal-to-interference-plus-noise-ratio (SINR) constraint. The optimization problem is addressed in two stages: first, we optimize the unconstrained beamformers, and then we design the hybrid analog/digital beamformers. Our results demonstrate that the proposed hybrid beamforming method provides robust performance in terms of both sensing SNR and communications SINR in CF-ISAC settings.
beamforming, Cell-free, hybrid beamforming, integrated sensing and communications, massive MIMO
476-480
Elbir, Ahmet M.
e6ed2099-e755-4a39-ab80-d79bd1a53082
Mishra, Kumar Vijay
80da2f7b-0f9c-4600-9bea-e180a24f17a6
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Eltawil, Ahmed M.
5eb9e965-5ec8-4da1-baee-c3cab0fb2a72
2024
Elbir, Ahmet M.
e6ed2099-e755-4a39-ab80-d79bd1a53082
Mishra, Kumar Vijay
80da2f7b-0f9c-4600-9bea-e180a24f17a6
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Eltawil, Ahmed M.
5eb9e965-5ec8-4da1-baee-c3cab0fb2a72
Elbir, Ahmet M., Mishra, Kumar Vijay, Celik, Abdulkadir and Eltawil, Ahmed M.
(2024)
Cell-free integrated sensing and communications with hybrid beamforming.
In 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024.
IEEE.
.
(doi:10.1109/SPAWC60668.2024.10694583).
Record type:
Conference or Workshop Item
(Paper)
Abstract
The cell-free (CF) massive multiple-input multiple-output (MIMO) architecture offers significant advantages in terms of energy and hardware efficiency compared to centralized MIMO systems. It is particularly beneficial for the integrated sensing and communications (ISAC) paradigm, as the distributed nature of access points in CF-MIMO improves target detection probability. In this study, we focus on hybrid beamformer design for CF-ISAC scenarios, aiming to maximize the sensing signal-to-noise ratio (SNR) while maintaining a communications signal-to-interference-plus-noise-ratio (SINR) constraint. The optimization problem is addressed in two stages: first, we optimize the unconstrained beamformers, and then we design the hybrid analog/digital beamformers. Our results demonstrate that the proposed hybrid beamforming method provides robust performance in terms of both sensing SNR and communications SINR in CF-ISAC settings.
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Published date: 2024
Additional Information:
Publisher Copyright:
© 2024 IEEE.
Venue - Dates:
25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024, , Lucca, Italy, 2024-09-10 - 2024-09-13
Keywords:
beamforming, Cell-free, hybrid beamforming, integrated sensing and communications, massive MIMO
Identifiers
Local EPrints ID: 504502
URI: http://eprints.soton.ac.uk/id/eprint/504502
ISSN: 2325-3789
PURE UUID: 041321b6-1a1a-4f0a-8ccb-0efac6659ed1
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Date deposited: 10 Sep 2025 15:41
Last modified: 11 Sep 2025 03:49
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Contributors
Author:
Ahmet M. Elbir
Author:
Kumar Vijay Mishra
Author:
Abdulkadir Celik
Author:
Ahmed M. Eltawil
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