Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/11914
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Topal, O.A. | - |
dc.contributor.author | Demir, Ö.T. | - |
dc.contributor.author | Bjornson, E. | - |
dc.contributor.author | Cavdar, C. | - |
dc.date.accessioned | 2024-12-10T19:00:45Z | - |
dc.date.available | 2024-12-10T19:00:45Z | - |
dc.date.issued | 2024 | - |
dc.identifier.issn | 2162-2337 | - |
dc.identifier.uri | https://doi.org/10.1109/LWC.2024.3501417 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/11914 | - |
dc.description.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. | en_US |
dc.description.sponsorship | Swedish funding agency Vinnova; Stiftelsen för Strategisk Forskning, SSF | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | IEEE Wireless Communications Letters | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Cramér-Rao bound | en_US |
dc.subject | Integrated sensing and communications | en_US |
dc.subject | massive MIMO | en_US |
dc.subject | semi-definite relaxation | en_US |
dc.title | Multi-Target Integrated Sensing and Communications in Massive Mimo Systems | en_US |
dc.type | Article | en_US |
dc.department | TOBB ETÜ | en_US |
dc.identifier.scopus | 2-s2.0-85210104886 | en_US |
dc.institutionauthor | … | - |
dc.identifier.doi | 10.1109/LWC.2024.3501417 | - |
dc.authorscopusid | 57190742811 | - |
dc.authorscopusid | 55807906700 | - |
dc.authorscopusid | 24478602800 | - |
dc.authorscopusid | 24178594900 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
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