Multi-Target Integrated Sensing and Communications in Massive Mimo Systems

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11914

Title:	Multi-Target Integrated Sensing and Communications in Massive Mimo Systems
Authors:	Topal, O.A. Demir, Ö.T. Bjornson, E. Cavdar, C.
Keywords:	CramÃ©r-Rao bound Integrated sensing and communications massive MIMO semi-definite relaxation
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Abstract:	Integrated sensing and communications (ISAC) allows networks to perform sensing alongside data transmission. While most ISAC studies focus on single-target, multi-user scenarios, multi-target sensing is scarcely researched. This letter examines the monostatic sensing performance of a multi-target massive MIMO system, aiming to minimize the sum of Cramér-Rao lower bounds (CRLBs) for target direction-of-arrival estimates while meeting user equipment (UE) rate requirements. We propose several precoding schemes, comparing sensing performance and complexity, and find that sensing-focused precoding with power allocation for communication achieves near-optimal performance with 20 times less complexity than joint precoding. Additionally, time-sharing between communication and sensing outperforms simple time division, highlighting the benefits of resource-sharing for ISAC. © 2012 IEEE.
URI:	https://doi.org/10.1109/LWC.2024.3501417 https://hdl.handle.net/20.500.11851/11914
ISSN:	2162-2337
Appears in Collections:	Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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