eprintid: 10193992 rev_number: 7 eprint_status: archive userid: 699 dir: disk0/10/19/39/92 datestamp: 2024-06-28 11:12:29 lastmod: 2024-06-28 11:12:29 status_changed: 2024-06-28 11:12:29 type: article metadata_visibility: show sword_depositor: 699 creators_name: Babu, N creators_name: Masouros, C creators_name: Papadias, CB creators_name: Eldar, YC title: Precoding for Multi-Cell ISAC: from Coordinated Beamforming to Coordinated Multipoint and Bi-Static Sensing ispublished: inpress divisions: UCL divisions: B04 divisions: C05 divisions: F46 note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. abstract: —This paper proposes a framework for designing robust precoders for a multi-input single-output (MISO) system that performs integrated sensing and communication (ISAC) across multiple cells and users. We use Cramer-Rao-Bound (CRB) to measure the sensing performance and derive its expressions for two multi-cell scenarios, namely coordinated beamforming (CBF) and coordinated multi-point (CoMP). In the CBF scheme, a BS shares channel state information (CSI) and estimates target parameters using monostatic sensing. In contrast, a BS in the CoMP scheme shares the CSI and data, allowing bistatic sensing through inter-cell reflection. We consider both block-level (BL) and symbol-level (SL) precoding schemes for both the multi-cell scenarios that are robust to channel state estimation errors. The formulated optimization problems to minimize the CRB in estimating the parameters of a target and maximize the minimum communication signal-to-interferenceplus-noise-ratio (SINR) while satisfying a given total transmit power budget are non-convex. We tackle the non-convexity using a combination of semidefinite relaxation (SDR) and alternating optimization (AO) techniques. Simulations suggest that neglecting the inter-cell reflection and communication links degrades the performance of an ISAC system. The CoMP scenario employing SL precoding performs the best, whereas the BL precoding applied in the CBF scenario produces relatively high estimation error for a given minimum SINR value. date: 2024-06-28 date_type: published publisher: Institute of Electrical and Electronics Engineers official_url: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7693 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 2290943 doi: 10.1109/TWC.2024.3417713 lyricists_name: Masouros, Christos lyricists_id: CMASO14 actors_name: Masouros, Christos actors_name: Kalinowski, Damian actors_id: CMASO14 actors_id: DKALI47 actors_role: owner actors_role: impersonator full_text_status: public publication: IEEE Transactions on Wireless Communications citation: Babu, N; Masouros, C; Papadias, CB; Eldar, YC; (2024) Precoding for Multi-Cell ISAC: from Coordinated Beamforming to Coordinated Multipoint and Bi-Static Sensing. IEEE Transactions on Wireless Communications 10.1109/TWC.2024.3417713 <https://doi.org/10.1109/TWC.2024.3417713>. (In press). Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10193992/1/Masouros_Precoding%20for%20Multi-Cell%20ISAC_AAM.pdf