Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115515
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Electrical and Electronic Engineeringen_US
dc.creatorGuo, Xen_US
dc.creatorShi, Qen_US
dc.creatorZhang, Sen_US
dc.creatorXing, Cen_US
dc.creatorLiu, Len_US
dc.date.accessioned2025-10-02T06:39:22Z-
dc.date.available2025-10-02T06:39:22Z-
dc.identifier.issn0090-6778en_US
dc.identifier.urihttp://hdl.handle.net/10397/115515-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication X. Guo, Q. Shi, S. Zhang, C. Xing and L. Liu, "User Equipment Assisted Localization for 6G Integrated Sensing and Communication," in IEEE Transactions on Communications, vol. 73, no. 11, pp. 12593-12607, Nov. 2025 is available at https://doi.org/10.1109/TCOMM.2025.3583640.en_US
dc.subjectAnchor position errorsen_US
dc.subjectData associationen_US
dc.subjectIntegrated sensing and communication (ISAC)en_US
dc.subjectLocalizationen_US
dc.subjectNetworked sensingen_US
dc.subjectSynchronizationen_US
dc.titleUser equipment assisted localization for 6G integrated sensing and communicationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage12593en_US
dc.identifier.epage12607en_US
dc.identifier.volume73en_US
dc.identifier.issue11en_US
dc.identifier.doi10.1109/TCOMM.2025.3583640en_US
dcterms.abstractThis paper investigates user equipment (UE) assisted device-free networked sensing in the sixth-generation (6G) integrated sensing and communication (ISAC) system, where one base station (BS) and multiple UEs, such as unmanned aerial vehicles (UAVs), serve as anchors to cooperatively localize multiple passive targets based on the range information. Three challenges arise from the above scheme. First, the UEs are not perfectly synchronized with the BSs. Second, the UE (anchor) positions are usually estimated by the Global Positioning System (GPS) and subject to unknown errors. Third, data association is challenging, since it is hard for each anchor to associate each rang estimation to the right target under device-free sensing. We first tackle the above three challenges under a passive UE based sensing mode, where UEs only passively hear the signals over the BS-target-UE paths. A two-phase UE assisted localization protocol is proposed. In Phase I, we design an efficient method to accurately estimate the ranges from the BS to the targets and those from the BS to the targets to the UEs in the presence of synchronization errors between the BS and the UEs. In Phase II, an efficient algorithm is proposed to localize the targets via jointly removing the UEs with quite inaccurate position information from the anchor set and matching the estimated ranges at the BS and the remaining UEs with the targets. Next, we also consider an active UE based sensing mode, where the UEs can actively emit signals to obtain additional range information from them to the targets. We show that this additional range information can be utilized to significantly reduce the complexity of Phase II in the aforementioned two-phase localization protocol. Numerical results show that our proposed UE assisted networked sensing scheme can achieve very high localization accuracy.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on communications, Nov. 2025, v. 73, no. 11, p. 12593-12607en_US
dcterms.isPartOfIEEE transactions on communicationsen_US
dcterms.issued2025-11-
dc.identifier.scopus2-s2.0-105009500465-
dc.identifier.eissn1558-0857en_US
dc.description.validate202510 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.SubFormIDG000201/2025-07-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work was supported in part by the National Key Research and Development Project of China under Grant 2022YFB2902800; in part by the National Natural Science Foundation of China (NSFC) under Grant 62471421 and Grant 62325103; in part by CRF Young Collaborative Research Grant from the Hong Kong Research Grants Council under Grant PolyU C5002-23Y; and in part by the General Research Fund from the Hong Kong Research Grants Council under Grant 15203222, Grant 15230022, and Grant 15213322. This paper was presented in part at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, Apr. 2024 [1] [DOI:10.1109/ICASSP48485.2024.10445920].en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Guo_User_Equipment_Assisted.pdfPre-Published version8.83 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

SCOPUSTM   
Citations

2
Citations as of Apr 3, 2026

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.