Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/11814
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zou, Qinglin | - |
dc.contributor.author | Behdad, Zinat | - |
dc.contributor.author | Demir, Özlem Tuğfe | - |
dc.contributor.author | Cavdar, Cicek | - |
dc.date.accessioned | 2024-10-10T15:47:48Z | - |
dc.date.available | 2024-10-10T15:47:48Z | - |
dc.date.issued | 2024 | - |
dc.identifier.issn | 2162-2337 | - |
dc.identifier.issn | 2162-2345 | - |
dc.identifier.uri | https://doi.org/10.1109/LWC.2024.3462710 | - |
dc.description.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. | en_US |
dc.description.sponsorship | ECSEL Joint Undertaking (JU) [876124]; CELTIC-NEXT Project; Robust and AI Native 6G for Green Networks (RAI- 6Green) [2020-1.2.3-EUREKA-2021-000006]; EU Horizon 2020; Vinnova in Sweden; Vinnova; Swedish Innovation Agency; Scientific and Technological Research Council of Turkiye | en_US |
dc.description.sponsorship | This work was supported in part by the ECSEL Joint Undertaking (JU) under Grant 876124; in part by the CELTIC-NEXT Project, and in part by the Robust and AI Native 6G for Green Networks (RAI- 6Green) under Grant 2020-1.2.3-EUREKA-2021-000006. The JU is supported by EU Horizon 2020 and Vinnova in Sweden, while RAI-6Green is funded by Vinnova, the Swedish Innovation Agency. The work of OEzlem Tugfe Demir was supported by the Scientific and Technological Research Council of Turkiye. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Ieee-inst Electrical Electronics Engineers inc | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Sensors | en_US |
dc.subject | Vectors | en_US |
dc.subject | Integrated Sensing And Communication | en_US |
dc.subject | Detectors | en_US |
dc.subject | Receivers | en_US |
dc.subject | Computer Architecture | en_US |
dc.subject | Wireless Sensor Networks | en_US |
dc.subject | Cell-Free Massive Mimo | en_US |
dc.subject | C-Ran | en_US |
dc.subject | Distributed Sensing | en_US |
dc.subject | Multi-Static Sensing | en_US |
dc.title | Distributed Versus Centralized Sensing in Cell-Free Massive MIMO | en_US |
dc.type | Article | en_US |
dc.department | TOBB University of Economics and Technology | en_US |
dc.identifier.volume | 13 | en_US |
dc.identifier.issue | 12 | en_US |
dc.identifier.startpage | 3345 | en_US |
dc.identifier.endpage | 3349 | en_US |
dc.identifier.wos | WOS:001375692100004 | - |
dc.identifier.scopus | 2-s2.0-85204444473 | - |
dc.institutionauthor | … | - |
dc.identifier.doi | 10.1109/LWC.2024.3462710 | - |
dc.authorwosid | BEHDAD, ZINAT/JBS-5040-2023 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q1 | - |
dc.identifier.wosquality | Q1 | - |
dc.description.woscitationindex | Science Citation Index Expanded | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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