Sensing Topology Management in 6G Integrated Sensing and Communications Systems

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Sensing Topology Management in 6G Integrated Sensing and Communications Systems

Conference Paper (2025)

Author(s)

G. Mazzola (Student TU Delft)

S. Agarwal (TNO)

K. Das (TNO)

R. Litjens (TNO, TU Delft - Network Architectures and Services)

H. Zhang (TNO)

Research Group

Network Architectures and Services

DOI related publication

https://doi.org/10.1109/PIMRC62392.2025.11275523

Radio resource management Probability of detection ISAC Sensing topology management User throughput performance System-level simulations

To reference this document use:

https://resolver.tudelft.nl/uuid:76daff8d-f646-4f21-b25d-22fda1f89567

More Info

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Publication Year

2025

Language

English

Research Group

Network Architectures and Services

Bibliographical Note

Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en

Publisher

IEEE

ISBN (print)

979-8-3503-6324-1

ISBN (electronic)

979-8-3503-6323-4

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

We develop and assess radio resource management solutions for Integrated Sensing and Communications (ISAC) in 6G networks. A novel sensing topology management scheme is introduced to balance trade-offs between sensing/communication performance and resource consumption. The simulation results demonstrate the impact of the configuration of the sensing topology management scheme on the selected and the effective topology sizes, while further quantifying the sensitivity of the sensing/communication performance w.r.t. the topology size, the number of present active- and idle-mode UEs, the number of sensing tasks, the network deployment density and the radar cross section of sensing targets. This study provides valuable insights for the effective deployment and management of sensing services in 6G mobile networks.

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