Toward Throughput Optimization: A Congestion Control Scheme for CAM Delivery via NR Sidelink

In the new radio (NR) vehicle-to-everything (V2X), congestion control (CC) is adopted to reduce channel occupancy and improve delivery performance. However, most existing CC schemes decide to adjust the number of messages while ignoring the throughput requirements, which may lead to serious traffic...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE internet of things journal Jg. 12; H. 9; S. 12206 - 12218
Hauptverfasser: Fu, Qiang, Liu, Jiajia, Wang, Jiadai, Kong, Jun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.05.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
3GPP
Automation
Configurations
Congestion control (CC)
effective throughput
Encoding
Interference
Internet of Things
Long Term Evolution
Measurement
Messages
modulation and coding scheme (MCS)
new radio (NR) sidelink
Optimization
Resource allocation
Resource scheduling
Roads
semi-persistent scheduling (SPS)
Sidelink
Throughput
Traffic accidents
Tuning
Vehicle-to-everything
ISSN:2327-4662, 2327-4662
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Abstract In the new radio (NR) vehicle-to-everything (V2X), congestion control (CC) is adopted to reduce channel occupancy and improve delivery performance. However, most existing CC schemes decide to adjust the number of messages while ignoring the throughput requirements, which may lead to serious traffic accidents due to the loss of information. In light of this, we investigate the performance of cooperative awareness messages (CAMs) delivery via NR sidelink under different CC configurations, including the modulation and coding scheme, the semi-persistent scheduling-based resource allocation, as well as the CAM transmission period. Specifically, taking into account these configurations, we develop a theoretical framework to capture two metrics of CAM delivery, namely the effective throughput and the channel busy ratio, based on the stochastic geometry approach. With the help of this framework, we propose the CC-(m,n,<inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula>) scheme, which is able to optimize the two metrics simultaneously by properly tuning the parameters m, n, and <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula>. Extensive numerical results show that the proposed scheme is highly beneficial for efficient and reliable CAM delivery via NR sidelink, particularly in scenarios with high vehicle densities.
AbstractList In the new radio (NR) vehicle-to-everything (V2X), congestion control (CC) is adopted to reduce channel occupancy and improve delivery performance. However, most existing CC schemes decide to adjust the number of messages while ignoring the throughput requirements, which may lead to serious traffic accidents due to the loss of information. In light of this, we investigate the performance of cooperative awareness messages (CAMs) delivery via NR sidelink under different CC configurations, including the modulation and coding scheme, the semi-persistent scheduling-based resource allocation, as well as the CAM transmission period. Specifically, taking into account these configurations, we develop a theoretical framework to capture two metrics of CAM delivery, namely the effective throughput and the channel busy ratio, based on the stochastic geometry approach. With the help of this framework, we propose the CC-(m,n,<inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula>) scheme, which is able to optimize the two metrics simultaneously by properly tuning the parameters m, n, and <inline-formula> <tex-math notation="LaTeX">\tau </tex-math></inline-formula>. Extensive numerical results show that the proposed scheme is highly beneficial for efficient and reliable CAM delivery via NR sidelink, particularly in scenarios with high vehicle densities.
In the new radio (NR) vehicle-to-everything (V2X), congestion control (CC) is adopted to reduce channel occupancy and improve delivery performance. However, most existing CC schemes decide to adjust the number of messages while ignoring the throughput requirements, which may lead to serious traffic accidents due to the loss of information. In light of this, we investigate the performance of cooperative awareness messages (CAMs) delivery via NR sidelink under different CC configurations, including the modulation and coding scheme, the semi-persistent scheduling-based resource allocation, as well as the CAM transmission period. Specifically, taking into account these configurations, we develop a theoretical framework to capture two metrics of CAM delivery, namely the effective throughput and the channel busy ratio, based on the stochastic geometry approach. With the help of this framework, we propose the CC-(m,n,[Formula Omitted]) scheme, which is able to optimize the two metrics simultaneously by properly tuning the parameters m, n, and [Formula Omitted]. Extensive numerical results show that the proposed scheme is highly beneficial for efficient and reliable CAM delivery via NR sidelink, particularly in scenarios with high vehicle densities.
Author Kong, Jun
Wang, Jiadai
Fu, Qiang
Liu, Jiajia
Author_xml – sequence: 1
  givenname: Qiang
  orcidid: 0000-0001-9684-9874
  surname: Fu
  fullname: Fu, Qiang
  organization: National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, the School of Cybersecurity, Northwestern Polytechnical University, Xi'an, Shaanxi, China
– sequence: 2
  givenname: Jiajia
  orcidid: 0000-0003-4273-8866
  surname: Liu
  fullname: Liu, Jiajia
  email: liujiajia@nwpu.edu.cn
  organization: National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, the School of Cybersecurity, Northwestern Polytechnical University, Xi'an, Shaanxi, China
– sequence: 3
  givenname: Jiadai
  orcidid: 0000-0002-2631-8792
  surname: Wang
  fullname: Wang, Jiadai
  organization: National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, the School of Cybersecurity, Northwestern Polytechnical University, Xi'an, Shaanxi, China
– sequence: 4
  givenname: Jun
  orcidid: 0009-0009-5492-4691
  surname: Kong
  fullname: Kong, Jun
  organization: National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, the School of Cybersecurity, Northwestern Polytechnical University, Xi'an, Shaanxi, China
BookMark eNpNkFtPwjAYhhuDiYj8ABMvmngN9rC1q3dknjAoicw7k6XZvkER1tltGPz1doELrvr2y_t-h-cS9UpbAkLXlIwpJerudTpPxoywYMxDqqSkZ6jPOJOjQAjWO9EXaFjXa0KIj3mn6KOvxP5ql-Nk5Wy7XFVtg-dVY7bmTzfGlvd4gmNbLqHufp1snN3gRbaCLeDCOhxP3vADbMwO3B7vjMbvH3hhcl8pv6_QeaE3NQyP7wB9Pj0m8ctoNn-expPZKOM0akZFUEgZaZHzIqdKZRkNgWkKRRQI7VUocyn9eUSABMlUJJiAIMul4jlRoeYDdHvoWzn70_pd07VtXelHppyqQArKhPAuenBlzta1gyKtnNlqt08pSTuOaccx7TimR44-c3PIGAA48UdESCX4P2aFb5I
CODEN IITJAU
Cites_doi 10.1109/TVT.2022.3218152
10.1016/j.vehcom.2024.100744
10.1109/IVS.2011.5940461
10.1109/IWCMC55113.2022.9824995
10.1109/TIV.2022.3180665
10.1109/ICTC55196.2022.9952605
10.1109/LWC.2021.3108821
10.1109/ITSC57777.2023.10422626
10.1109/WCNC51071.2022.9771765
10.1109/TVT.2020.3015127
10.1109/CommNet60167.2023.10365283
10.1109/TMC.2021.3051956
10.1109/4235.996017
10.1109/MCOM.2017.1700173
10.1109/TVT.2020.2994407
10.1109/MWC.2013.6704474
10.1109/ICMLCN59089.2024.10624776
10.1109/TITS.2020.2966586
10.3390/s23156657
10.1007/s10462-023-10526-z
10.1109/COMST.2021.3057017
10.1109/JIOT.2024.3402551
10.1109/TIV.2020.3046694
10.1109/COMST.2018.2888904
10.1109/TITS.2022.3207748
10.1109/WoWMoM54355.2022.00045
10.1109/VTCFall.2015.7391025
10.1016/j.vehcom.2023.100710
10.1109/JIOT.2022.3159591
10.1109/TIT.2005.855610
10.1109/ICCVE45908.2019.8965212
10.1109/JSAC.2015.2452492
10.1007/s11047-018-9685-y
10.1109/JIOT.2023.3343951
10.1109/TCCN.2020.3002253
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2025
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2025
DBID 97E
RIA
RIE
AAYXX
CITATION
7SC
8FD
JQ2
L7M
L~C
L~D
DOI 10.1109/JIOT.2024.3519771
DatabaseName IEEE All-Society Periodicals Package (ASPP) 2005-present
IEEE All-Society Periodicals Package (ASPP) 1998-Present
IEEE Electronic Library (IEL)
CrossRef
Computer and Information Systems Abstracts
Technology Research Database
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
DatabaseTitle CrossRef
Computer and Information Systems Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
Advanced Technologies Database with Aerospace
ProQuest Computer Science Collection
Computer and Information Systems Abstracts Professional
DatabaseTitleList
Computer and Information Systems Abstracts
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISSN 2327-4662
EndPage 12218
ExternalDocumentID 10_1109_JIOT_2024_3519771
10806796
Genre orig-research
GroupedDBID 0R~
6IK
97E
AAJGR
AARMG
AASAJ
AAWTH
ABAZT
ABJNI
ABQJQ
ABVLG
AGQYO
AHBIQ
AKJIK
AKQYR
ALMA_UNASSIGNED_HOLDINGS
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
EBS
IFIPE
IPLJI
JAVBF
M43
OCL
PQQKQ
RIA
RIE
AAYXX
CITATION
7SC
8FD
JQ2
L7M
L~C
L~D
ID FETCH-LOGICAL-c318t-f4f778a6d3fd199cc15e2a1ef846ae2a57d7720206e7e7298626e4cd793d095a3
IEDL.DBID RIE
ISICitedReferencesCount 1
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001476510500023&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2327-4662
IngestDate Mon Jun 30 07:47:05 EDT 2025
Sat Nov 29 08:00:45 EST 2025
Wed Aug 27 02:03:31 EDT 2025
IsPeerReviewed false
IsScholarly true
Issue 9
Language English
License https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-037
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c318t-f4f778a6d3fd199cc15e2a1ef846ae2a57d7720206e7e7298626e4cd793d095a3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0001-9684-9874
0000-0003-4273-8866
0009-0009-5492-4691
0000-0002-2631-8792
PQID 3194761266
PQPubID 2040421
PageCount 13
ParticipantIDs proquest_journals_3194761266
ieee_primary_10806796
crossref_primary_10_1109_JIOT_2024_3519771
PublicationCentury 2000
PublicationDate 2025-05-01
PublicationDateYYYYMMDD 2025-05-01
PublicationDate_xml – month: 05
  year: 2025
  text: 2025-05-01
  day: 01
PublicationDecade 2020
PublicationPlace Piscataway
PublicationPlace_xml – name: Piscataway
PublicationTitle IEEE internet of things journal
PublicationTitleAbbrev JIoT
PublicationYear 2025
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
ref35
ref12
ref15
ref37
ref14
ref36
ref31
ref30
ref11
ref33
ref10
(ref41) 2024
ref2
ref1
ref17
ref39
ref16
ref38
ref19
ref18
(ref32) 2024
(ref4) 2016
ref24
ref23
(ref5) 2024
ref25
ref20
ref42
ref22
ref44
ref21
ref43
(ref34) 2024
(ref7) 2024
ref28
ref27
ref29
ref8
ref9
(ref40) 2018
ref3
(ref26) 2023
(ref6) 2020
References_xml – ident: ref25
  doi: 10.1109/TVT.2022.3218152
– ident: ref27
  doi: 10.1016/j.vehcom.2024.100744
– year: 2023
  ident: ref26
  article-title: Intelligent Transport Systems (ITS); vehicular communications; basic set of applications; cooperative awareness service; (Release 2), Version 2.1.1
– ident: ref8
  doi: 10.1109/IVS.2011.5940461
– ident: ref15
  doi: 10.1109/IWCMC55113.2022.9824995
– ident: ref20
  doi: 10.1109/TIV.2022.3180665
– volume-title: On-Board System Requirements for V2V Safety Communications
  year: 2020
  ident: ref6
– volume-title: On-Board System Requirements for LTE-V2X V2V Safety Communications
  year: 2024
  ident: ref7
– volume-title: 5G NR TBS (Transport Block Size) calculator
  year: 2024
  ident: ref34
– ident: ref39
  doi: 10.1109/ICTC55196.2022.9952605
– ident: ref14
  doi: 10.1109/LWC.2021.3108821
– ident: ref19
  doi: 10.1109/ITSC57777.2023.10422626
– ident: ref36
  doi: 10.1109/WCNC51071.2022.9771765
– ident: ref10
  doi: 10.1109/TVT.2020.3015127
– ident: ref18
  doi: 10.1109/CommNet60167.2023.10365283
– ident: ref30
  doi: 10.1109/TMC.2021.3051956
– ident: ref43
  doi: 10.1109/4235.996017
– ident: ref3
  doi: 10.1109/MCOM.2017.1700173
– ident: ref29
  doi: 10.1109/TVT.2020.2994407
– ident: ref31
  doi: 10.1109/MWC.2013.6704474
– ident: ref22
  doi: 10.1109/ICMLCN59089.2024.10624776
– ident: ref12
  doi: 10.1109/TITS.2020.2966586
– ident: ref21
  doi: 10.3390/s23156657
– year: 2024
  ident: ref41
  article-title: Technical specification group radio access network; evolved universal terrestrial radio access (E-UTRA); Radio Resource Control (RRC); protocol specification; (Release 18), Version 18.1.0
– ident: ref44
  doi: 10.1007/s10462-023-10526-z
– ident: ref2
  doi: 10.1109/COMST.2021.3057017
– ident: ref38
  doi: 10.1109/JIOT.2024.3402551
– ident: ref13
  doi: 10.1109/TIV.2020.3046694
– ident: ref1
  doi: 10.1109/COMST.2018.2888904
– ident: ref16
  doi: 10.1109/TITS.2022.3207748
– ident: ref17
  doi: 10.1109/WoWMoM54355.2022.00045
– ident: ref28
  doi: 10.1109/VTCFall.2015.7391025
– ident: ref23
  doi: 10.1016/j.vehcom.2023.100710
– ident: ref33
  doi: 10.1109/JIOT.2022.3159591
– year: 2024
  ident: ref5
  article-title: NR; Physical layer procedures for data; (Release 18), Version 18.2.0
– ident: ref35
  doi: 10.1109/TIT.2005.855610
– ident: ref9
  doi: 10.1109/ICCVE45908.2019.8965212
– ident: ref37
  doi: 10.1109/JSAC.2015.2452492
– ident: ref42
  doi: 10.1007/s11047-018-9685-y
– year: 2018
  ident: ref40
  article-title: Intelligent Transport Systems (ITS); congestion control mechanisms for the C-V2X PC5 interface; access layer part, Version 1.1.1
– ident: ref24
  doi: 10.1109/JIOT.2023.3343951
– ident: ref11
  doi: 10.1109/TCCN.2020.3002253
– volume-title: Congestion control for V2V
  year: 2016
  ident: ref4
– year: 2024
  ident: ref32
  article-title: Enhancement of 3GPP support for V2X scenarios; stage 1; (Release 18), Version 18.0.1
SSID ssj0001105196
Score 2.3458757
Snippet In the new radio (NR) vehicle-to-everything (V2X), congestion control (CC) is adopted to reduce channel occupancy and improve delivery performance. However,...
SourceID proquest
crossref
ieee
SourceType Aggregation Database
Index Database
Publisher
StartPage 12206
SubjectTerms 3GPP
Automation
Configurations
Congestion control (CC)
effective throughput
Encoding
Interference
Internet of Things
Long Term Evolution
Measurement
Messages
modulation and coding scheme (MCS)
new radio (NR) sidelink
Optimization
Resource allocation
Resource scheduling
Roads
semi-persistent scheduling (SPS)
Sidelink
Throughput
Traffic accidents
Tuning
Vehicle-to-everything
Title Toward Throughput Optimization: A Congestion Control Scheme for CAM Delivery via NR Sidelink
URI https://ieeexplore.ieee.org/document/10806796
https://www.proquest.com/docview/3194761266
Volume 12
WOSCitedRecordID wos001476510500023&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVIEE
  databaseName: IEEE Electronic Library (IEL)
  customDbUrl:
  eissn: 2327-4662
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001105196
  issn: 2327-4662
  databaseCode: RIE
  dateStart: 20140101
  isFulltext: true
  titleUrlDefault: https://ieeexplore.ieee.org/
  providerName: IEEE
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LS8NAEF5s8eDF-qhYrbIHT0LapHls1lupFhVtRSP0IITN7iwWbCp9gf_e2U2KinjwNiFZCDM7s9-8dgg5C5SfMV8pJ9Su7wSZC46IY98BmXHNM_ScpW0UvmODQTwa8YeyWd32wgCALT6DliFtLl9N5dKEytqmHs7EPSqkwhgrmrW-AiqeQSNRmbn0XN6-vRkm6AF2gpaZQseY9-PsscNUfllge6z0a__8oR2yXeJH2i0Evks2IN8jtfVsBlqq6j55SWw9LE2KOTz4lg7ROkzKtssL2qW9aW6SS_hkSFOwjstfYQIUgSztde_pJbyZso0PuhoLOnikT-ZOLHRe6-S5f5X0rp1ykoIjUWcXjg40Y7GIlK-Vx7mUXggd4YFG9CGQCplClI3IMQIGCLeNmwOBVKi8CjGY8A9INZ_mcEio9LKORB9EacWCWIZcKB2EmnuZ4Exw1SDnax6n78WFGal1NFyeGoGkRiBpKZAGqRumfvuw4GeDNNdiSUudmqdoLAKGgCyKjv5Ydky2OmY8r61HbJLqYraEE7IpV4vxfHZqt8sn2va_6Q
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dT9swED8xQBovdONDlJXNDzwhBerEiWPeqg5Et7agLUg8IEWOfRZI0KJSkPjvOTup2IT2sLeLEkvRne_8uy8fwL6wSSUTa6PUdZNIVF2MdJ4nEZpKOVWR52xCo_BQjsf51ZW6aJrVQy8MIobiMzz0ZMjl26l58qGyI18P5-MeH2AlFSLmdbvWW0iFezySNblL3lVHPwbnBfmAsTj0c-ik5H-dPmGcyjsbHA6W09Z__tInWG8QJOvVIv8MSzjZgNZiOgNrlHUTrotQEcuKehIPvWXnZB_um8bLY9Zj_enEp5foyZO-ZJ2W3-A9MoKyrN8bse945ws3XtjzrWbjX-y3vxWL3NctuDw9KfpnUTNLITKktfPICSdlrjObOMuVMoanGGuOjvCHJiqVlnA2YccMJRLg9o4OCmNJfS2hMJ1sw_JkOsEdYIZXsSEvxDorRW5Spa0TqVO80kpqZdtwsOBx-VBfmVEGV6OrSi-Q0gukbATShi3P1D8-rPnZhs5CLGWjVY8lmQshCZJl2e4_ln2Dj2fFaFgOB-OfX2At9sN6Q3ViB5bnsyfcg1XzPL99nH0NW-cVAVbDMA
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=Toward+Throughput+Optimization%3A+A+Congestion+Control+Scheme+for+CAM+Delivery+via+NR+Sidelink&rft.jtitle=IEEE+internet+of+things+journal&rft.au=Fu%2C+Qiang&rft.au=Liu%2C+Jiajia&rft.au=Wang%2C+Jiadai&rft.au=Kong%2C+Jun&rft.date=2025-05-01&rft.issn=2327-4662&rft.eissn=2327-4662&rft.volume=12&rft.issue=9&rft.spage=12206&rft.epage=12218&rft_id=info:doi/10.1109%2FJIOT.2024.3519771&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_JIOT_2024_3519771
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2327-4662&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2327-4662&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2327-4662&client=summon