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