5GNSS: Fusion of 5G-NR and GNSS Localization for Enhanced Positioning Accuracy and Reliability

With the proliferation of connected devices and the increasing demand for more precise and reliable positioning information, the fusion of 5G and GNSS localization systems holds immense potential to overcome the current limitations of standalone approaches. In order to tackle this challenge, in this...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on vehicular technology Vol. 73; no. 9; pp. 13558 - 13568
Main Authors: Campolo, Federico, Blaga, Andra, Rea, Maurizio, Lozano, Angel, Costa-Perez, Xavier
Format: Journal Article
Language:English
Published: New York IEEE 01-09-2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract With the proliferation of connected devices and the increasing demand for more precise and reliable positioning information, the fusion of 5G and GNSS localization systems holds immense potential to overcome the current limitations of standalone approaches. In order to tackle this challenge, in this paper we explore the potential of the fusion of 5G-NR and satellite localization systems to jointly enhance their accuracy and reliability. The designed solution, termed 5GNSS , is explained in detail, describing its five main building blocks and corresponding mathematical foundations. An extensive performance evaluation has been conducted, considering urban, suburban, and rural vehicular scenarios, as well as a varying number of visible satellites and 5G base stations. Our results show that 5GNSS can outperform standalone GNSS, 4G-LTE and 5G-NR positioning systems consistently across all these scenarios with an average error reduction in the <inline-formula><tex-math notation="LaTeX">\sim</tex-math></inline-formula> 60-40% range. Based on these results, we conclude that future positioning systems would strongly benefit from incorporating 5GNSS-like fusion solutions.
AbstractList With the proliferation of connected devices and the increasing demand for more precise and reliable positioning information, the fusion of 5G and GNSS localization systems holds immense potential to overcome the current limitations of standalone approaches. In order to tackle this challenge, in this paper we explore the potential of the fusion of 5G-NR and satellite localization systems to jointly enhance their accuracy and reliability. The designed solution, termed 5GNSS , is explained in detail, describing its five main building blocks and corresponding mathematical foundations. An extensive performance evaluation has been conducted, considering urban, suburban, and rural vehicular scenarios, as well as a varying number of visible satellites and 5G base stations. Our results show that 5GNSS can outperform standalone GNSS, 4G-LTE and 5G-NR positioning systems consistently across all these scenarios with an average error reduction in the [Formula Omitted] 60-40% range. Based on these results, we conclude that future positioning systems would strongly benefit from incorporating 5GNSS-like fusion solutions.
With the proliferation of connected devices and the increasing demand for more precise and reliable positioning information, the fusion of 5G and GNSS localization systems holds immense potential to overcome the current limitations of standalone approaches. In order to tackle this challenge, in this paper we explore the potential of the fusion of 5G-NR and satellite localization systems to jointly enhance their accuracy and reliability. The designed solution, termed 5GNSS , is explained in detail, describing its five main building blocks and corresponding mathematical foundations. An extensive performance evaluation has been conducted, considering urban, suburban, and rural vehicular scenarios, as well as a varying number of visible satellites and 5G base stations. Our results show that 5GNSS can outperform standalone GNSS, 4G-LTE and 5G-NR positioning systems consistently across all these scenarios with an average error reduction in the <inline-formula><tex-math notation="LaTeX">\sim</tex-math></inline-formula> 60-40% range. Based on these results, we conclude that future positioning systems would strongly benefit from incorporating 5GNSS-like fusion solutions.
Author Blaga, Andra
Rea, Maurizio
Lozano, Angel
Campolo, Federico
Costa-Perez, Xavier
Author_xml – sequence: 1
  givenname: Federico
  orcidid: 0009-0002-6898-0167
  surname: Campolo
  fullname: Campolo, Federico
  email: federico.campolo@i2cat.net
  organization: i2CAT Foundation, Barcelona, Spain
– sequence: 2
  givenname: Andra
  orcidid: 0000-0002-7273-4973
  surname: Blaga
  fullname: Blaga, Andra
  organization: i2CAT Foundation, Barcelona, Spain
– sequence: 3
  givenname: Maurizio
  orcidid: 0000-0001-7782-1139
  surname: Rea
  fullname: Rea, Maurizio
  organization: i2CAT Foundation, Barcelona, Spain
– sequence: 4
  givenname: Angel
  orcidid: 0000-0003-3790-0494
  surname: Lozano
  fullname: Lozano, Angel
  organization: University Pompeu Fabra, Barcelona, Spain
– sequence: 5
  givenname: Xavier
  orcidid: 0000-0002-9654-6109
  surname: Costa-Perez
  fullname: Costa-Perez, Xavier
  organization: i2CAT Foundation, Barcelona, Spain
BookMark eNpNkDFPwzAQhS1UJEphZ2CwxJxix3Ycs1VVW5CqgtrCiGU7DrgKcbGTofx6EtqB6XT33rvTfZdgUPvaAnCD0RhjJO63b9txilI6JkRkQuAzMMSCiEQQJgZgiBDOE8EouwCXMe66llKBh-CdLVabzQOct9H5GvoSskWyWkNVF7BX4NIbVbkf1fRy6QOc1Z-qNraALz66furqDzgxpg3KHP5ya1s5pV3lmsMVOC9VFe31qY7A63y2nT4my-fF03SyTEya8yYxTKMizQjFqVKC8VzbTJtCc82zQlBObTdimhei4EITU2Z5wTgiyjDOaPfnCNwd9-6D_25tbOTOt6HuTkqCUcYQRph1LnR0meBjDLaU--C-VDhIjGRPUXYUZU9Rnih2kdtjxFlr_9lZmgrByC8hDG4w
CODEN ITVTAB
Cites_doi 10.1109/JSAC.2018.2804223
10.1109/ICASSP40776.2020.9053157
10.3403/30443080
10.1109/TIM.2022.3154821
10.1109/MFI.2012.6343009
10.1109/MSP.2005.1458284
10.1109/IVS.2016.7535489
10.1109/TMC.2021.3051273
10.1145/3281411.3281437
10.1109/TVT.2015.2497001
10.1109/ACSSC.2018.8645207
10.1109/COMST.2017.2785181
10.1109/VTCFall.2019.8891529
10.1109/LRA.2017.2748180
10.1109/COMST.2018.2869360
10.1109/PLANS46316.2020.9109885
10.1017/S026357470900575X
10.1109/MCOM.011.2100091
10.1109/ITSC.2011.6082952
10.1109/JIOT.2018.2812300
10.1155/2010/812945
10.3390/s18103220
10.1109/ICL-GNSS.2012.6253127
10.1109/TIM.2014.2304365
10.1177/0278364917696568
10.1016/j.dib.2021.106885
10.1109/NAVITEC.2016.7849332
10.1109/TITS.2016.2595618
10.5772/56636
10.1109/CAC.2013.6775806
10.1109/MCOM.011.2100339
10.1002/SERIES1345
10.1109/TITS.2012.2215855
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
DBID 97E
ESBDL
RIA
RIE
AAYXX
CITATION
7SP
8FD
FR3
KR7
L7M
DOI 10.1109/TVT.2024.3396991
DatabaseName IEEE All-Society Periodicals Package (ASPP) 2005-present
IEEE Open Access Journals
IEEE All-Society Periodicals Package (ASPP) 1998-Present
IEEE Electronic Library Online
CrossRef
Electronics & Communications Abstracts
Technology Research Database
Engineering Research Database
Civil Engineering Abstracts
Advanced Technologies Database with Aerospace
DatabaseTitle CrossRef
Civil Engineering Abstracts
Engineering Research Database
Technology Research Database
Advanced Technologies Database with Aerospace
Electronics & Communications Abstracts
DatabaseTitleList Civil Engineering Abstracts

Database_xml – sequence: 1
  dbid: ESBDL
  name: IEEE Open Access Journals
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1939-9359
EndPage 13568
ExternalDocumentID 10_1109_TVT_2024_3396991
10522995
Genre orig-research
GrantInformation_xml – fundername: Fractus-UPF Chair on Tech Transfer and 6G
– fundername: ICREA Academia
– fundername: CERCA Programme
– fundername: Cervera INTEGRA Project,
  grantid: TSI-063000-2021-6
– fundername: EU Project INSTINCT
– fundername: NextGeneration EU UNICO I+d Project
  grantid: 101139161
GroupedDBID -~X
.DC
0R~
29I
3EH
4.4
5GY
5VS
6IK
97E
AAIKC
AAJGR
AAMNW
AASAJ
AAYOK
ABQJQ
ACGFO
ACGFS
ACIWK
ACNCT
AENEX
AETIX
AI.
AIBXA
AKJIK
ALLEH
ALMA_UNASSIGNED_HOLDINGS
ASUFR
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CS3
DU5
EBS
EJD
ESBDL
HZ~
H~9
IAAWW
IBMZZ
ICLAB
IFIPE
IFJZH
IPLJI
JAVBF
LAI
M43
MS~
O9-
OCL
P2P
RIA
RIE
RIG
RNS
RXW
TAE
TN5
VH1
AAYXX
CITATION
7SP
8FD
FR3
KR7
L7M
ID FETCH-LOGICAL-c287t-c5b0d263412aa9578be6bcdb7b76d9474e78b5b7d9d79b3cf68d5703ac5754193
IEDL.DBID ESBDL
ISSN 0018-9545
IngestDate Thu Oct 10 21:49:11 EDT 2024
Wed Sep 25 14:11:18 EDT 2024
Wed Sep 25 09:21:49 EDT 2024
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 9
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c287t-c5b0d263412aa9578be6bcdb7b76d9474e78b5b7d9d79b3cf68d5703ac5754193
ORCID 0000-0002-9654-6109
0000-0002-7273-4973
0000-0003-3790-0494
0009-0002-6898-0167
0000-0001-7782-1139
OpenAccessLink https://ieeexplore.ieee.org/document/10522995
PQID 3106501015
PQPubID 85454
PageCount 11
ParticipantIDs proquest_journals_3106501015
ieee_primary_10522995
crossref_primary_10_1109_TVT_2024_3396991
PublicationCentury 2000
PublicationDate 2024-09-01
PublicationDateYYYYMMDD 2024-09-01
PublicationDate_xml – month: 09
  year: 2024
  text: 2024-09-01
  day: 01
PublicationDecade 2020
PublicationPlace New York
PublicationPlace_xml – name: New York
PublicationTitle IEEE transactions on vehicular technology
PublicationTitleAbbrev TVT
PublicationYear 2024
Publisher IEEE
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml – name: IEEE
– name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References ref13
ref15
ref37
ref14
ref36
ref31
(ref5) 2018
ref30
(ref38) 2021
ref11
ref33
ref10
ref2
ref17
ref39
ref16
ref18
Dahlman (ref35) 2020
(ref43) 2010
ref24
ref23
ref26
ref25
ref20
ref42
ref41
ref22
ref21
Sanz Subirana (ref1) 2013; 1
Groves (ref32) 2013
ref28
ref27
del Peral-Rosado (ref12) 2011
ref29
ref8
ref7
Langley (ref34) 1999; 10
ref9
ref4
(ref40) 2019
ref3
ref6
Liu (ref19) 2019
References_xml – ident: ref18
  doi: 10.1109/JSAC.2018.2804223
– ident: ref24
  doi: 10.1109/ICASSP40776.2020.9053157
– volume-title: Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems
  year: 2013
  ident: ref32
  contributor:
    fullname: Groves
– ident: ref3
  doi: 10.3403/30443080
– ident: ref13
  doi: 10.1109/TIM.2022.3154821
– volume: 10
  start-page: 52
  issue: 5
  year: 1999
  ident: ref34
  article-title: Dilution of precision
  publication-title: GPS World
  contributor:
    fullname: Langley
– ident: ref22
  doi: 10.1109/MFI.2012.6343009
– ident: ref33
  doi: 10.1109/MSP.2005.1458284
– volume-title: Proc. Eur. Workshop GNSS Signals Signal Process.
  year: 2011
  ident: ref12
  article-title: Preliminary analysis of the positioning capabilities of the positioning reference signal of 3GPP LTE
  contributor:
    fullname: del Peral-Rosado
– ident: ref28
  doi: 10.1109/IVS.2016.7535489
– year: 2010
  ident: ref43
  article-title: ETSI TS 136 355 V14.2.0 (2017-07)
– ident: ref8
  doi: 10.1109/TMC.2021.3051273
– ident: ref36
  doi: 10.1145/3281411.3281437
– ident: ref20
  doi: 10.1109/TVT.2015.2497001
– year: 2019
  ident: ref40
  article-title: ETSI TS 136 104 V14.3.0 (2017-04)
– ident: ref15
  doi: 10.1109/ACSSC.2018.8645207
– ident: ref6
  doi: 10.1109/COMST.2017.2785181
– volume: 1
  volume-title: GNSS Data Processing, Vol. 1: Fundamentals and Algorithms
  year: 2013
  ident: ref1
  contributor:
    fullname: Sanz Subirana
– ident: ref17
  doi: 10.1109/VTCFall.2019.8891529
– ident: ref30
  doi: 10.1109/LRA.2017.2748180
– ident: ref4
  doi: 10.1109/COMST.2018.2869360
– ident: ref14
  doi: 10.1109/PLANS46316.2020.9109885
– ident: ref26
  doi: 10.1017/S026357470900575X
– ident: ref41
  doi: 10.1109/MCOM.011.2100091
– ident: ref25
  doi: 10.1109/ITSC.2011.6082952
– volume-title: 5G-NR: The Next Generation Wireless Access Technology
  year: 2020
  ident: ref35
  contributor:
    fullname: Dahlman
– ident: ref2
  doi: 10.1109/JIOT.2018.2812300
– ident: ref10
  doi: 10.1155/2010/812945
– year: 2021
  ident: ref38
  article-title: ETSI TS 138 214 V16.2.0 (2020-07)
– ident: ref16
  doi: 10.3390/s18103220
– ident: ref37
  doi: 10.1109/ICL-GNSS.2012.6253127
– ident: ref21
  doi: 10.1109/TIM.2014.2304365
– ident: ref31
  doi: 10.1177/0278364917696568
– ident: ref39
  doi: 10.1016/j.dib.2021.106885
– ident: ref9
  doi: 10.1109/NAVITEC.2016.7849332
– ident: ref23
  doi: 10.1109/TITS.2016.2595618
– ident: ref29
  doi: 10.5772/56636
– ident: ref27
  doi: 10.1109/CAC.2013.6775806
– year: 2018
  ident: ref5
  article-title: ETSI TS 122 186 V16.2.0 (2020-11)
– ident: ref7
  doi: 10.1109/MCOM.011.2100339
– ident: ref42
  doi: 10.1002/SERIES1345
– start-page: 2
  volume-title: Proc. Eur. Signal Proc. Conf.
  year: 2019
  ident: ref19
  article-title: GNSS-based localization for autonomous vehicles: Prospects and challenges
  contributor:
    fullname: Liu
– ident: ref11
  doi: 10.1109/TITS.2012.2215855
SSID ssj0014491
Score 2.4983215
Snippet With the proliferation of connected devices and the increasing demand for more precise and reliable positioning information, the fusion of 5G and GNSS...
SourceID proquest
crossref
ieee
SourceType Aggregation Database
Publisher
StartPage 13558
SubjectTerms 5G mobile communication
5G-NR
Accuracy
autonomous driving
Clocks
Distance measurement
Error reduction
Estimation
Global navigation satellite system
GNSS
GNSS/5G integrated positioning
Localization
Location awareness
Performance evaluation
PRS
Satellite broadcasting
Satellites
System reliability
Title 5GNSS: Fusion of 5G-NR and GNSS Localization for Enhanced Positioning Accuracy and Reliability
URI https://ieeexplore.ieee.org/document/10522995
https://www.proquest.com/docview/3106501015
Volume 73
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LT8JAEJ4oXPTgEyOKZA9ePBRpu4-uN5TXgRAjaDzZdB_EUzFAD_x7Z9tCMMaDt6btbpqZzsw3Oy-AW4WQgkeB8ZRAd5XOuO9FSSg8X3HDpVDaUFfvPJyI8XvU7bk2Od62FsZamyef2Za7zGP5Zq4zd1SGEo5oQUq2D9VAoCmtQLU3eeyOtmEDSssReT5KMWKDTVyyLe-nb1P0BgPaCkPJpfR_2KF8sMovbZybmP7xPz_uBI5KLEk6BfNPYc-mZ3C402HwHD7YYDyZPJB-5k7FyHxG2MAbv5AkNcQ9ISNny8paTIIAlvTSzzwpgDyX6Vy4D-lonS0Svc7XuSzmorv3ugav_d70aeiVIxU8ja7RytNMtU3A0XQFSSJRWpXlyA8llOBGUkEt3mJKGGmEVKGe8ci4Hl2JRlhHEexdQCWdp_YSCA0CHXF_RpWh1ComWSBRi9sosZJZQetwtyFw_FV0zohzj6MtY2RG7JgRl8yoQ80RdOe9gpZ1aGxYEpeytYwRkCKsRFXCrv5Ydg0HbvciFawBldUiszewvzRZs_xjmnmh3zeNa75k
link.rule.ids 315,782,786,798,27643,27934,27935,54769,54944
linkProvider IEEE
linkToHtml http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LT8JAEJ4IHtSDT4wo6h68eCjSso-uN6I8jEiMoPFk030QT8UAPfDvnW0LwRgP3pq22zYznZlvdl4AVwohBQ8D4ymB7iodc98L46bwfMUNl0JpQ129c28oBu_hfdu1yfFWtTDW2iz5zNbdYRbLNxOduq0ylHBEC1KyEmwyKrjMy7VWQQNKiwF5PsowIoNlVLIhb0ZvI_QFA1pvNiWX0v9hhbKxKr90cWZgOnv__LR92C2QJGnlrD-ADZscws5af8Ej-GDdwXB4Szqp2xMjkzFhXW_wQuLEEHeF9J0lKyoxCcJX0k4-s5QA8lwkc-FzSEvrdBrrRbbO5TDnvb0XFXjttEd3Pa8YqOBpdIzmnmaqYQKOhiuIY4myqixHbiihBDeSCmrxFFPCSCOkauoxD43r0BVrBHUUod4xlJNJYk-A0CDQIffHVBlKrWKSBRJ1uA1jK5kVtArXSwJHX3nfjCjzNxoyQmZEjhlRwYwqVBxB1-7LaVmF2pIlUSFZswjhKIJKVCTs9I9ll7DVGz31o_7D4PEMtt2b8qSwGpTn09SeQ2lm0ovs3_kGOcS_Pg
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=5GNSS%3A+Fusion+of+5G-NR+and+GNSS+Localization+for+Enhanced+Positioning+Accuracy+and+Reliability&rft.jtitle=IEEE+transactions+on+vehicular+technology&rft.au=Campolo%2C+Federico&rft.au=Blaga%2C+Andra&rft.au=Rea%2C+Maurizio&rft.au=Lozano%2C+Angel&rft.date=2024-09-01&rft.pub=IEEE&rft.issn=0018-9545&rft.volume=73&rft.issue=9&rft.spage=13558&rft.epage=13568&rft_id=info:doi/10.1109%2FTVT.2024.3396991&rft.externalDocID=10522995
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0018-9545&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0018-9545&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0018-9545&client=summon