Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/11814
Title: | Distributed Versus Centralized Sensing in Cell-Free Massive Mimo | Authors: | Zou, Qinglin Behdad, Zinat Tugfe Demir, Ozlem Cavdar, Cicek |
Keywords: | Sensors Vectors Integrated Sensing And Communication Detectors Receivers Computer Architecture Wireless Sensor Networks Cell-Free Massive Mimo C-Ran Distributed Sensing Multi-Static Sensing |
Publisher: | Ieee-inst Electrical Electronics Engineers inc | Abstract: | This letter investigates single-target detection in an integrated sensing and communication (ISAC) system, implemented within a cell-free massive multiple-input multiple-output (MIMO) setup, based on a cloud radio access network (C-RAN) architecture. Unlike previous centralized approaches where sensing is processed in the central cloud, we propose a distributed approach where sensing partially occurs at the receive access points (APs). We consider two scenarios based on the knowledge available at receive APs: i) fully-informed, with complete access to transmitted signal information, and ii) partly-informed, with access only to transmitted signal statistics. We introduce a maximum a posteriori ratio test detector for both distributed sensing scenarios and assess the signaling load for sensing. The fully-informed scenario's performance aligns with the centralized approach in terms of target detection probability. However, the partly-informed scenario requires an additional 13 dBsm variance on the target's radar cross section (RCS) for a detection probability above 0.9. Distributed sensing significantly reduces signaling load, especially in the partly-informed scenario, achieving a 70% reduction under our system setup. | URI: | https://doi.org/10.1109/LWC.2024.3462710 | ISSN: | 2162-2337 2162-2345 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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