xURLLC-Aware Service Provisioning in Vehicular Networks: A Semantic Communication Perspective

Semantic communication (SemCom), as an emerging paradigm focusing on meaning delivery, has recently been considered a promising solution for the inevitable crisis of scarce communication resources. This trend stimulates us to explore the potential of applying SemCom to wireless vehicular networks, w...

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Published in:IEEE transactions on wireless communications Vol. 23; no. 5; pp. 4475 - 4488
Main Authors: Xia, Le, Sun, Yao, Niyato, Dusit, Feng, Daquan, Feng, Lei, Imran, Muhammad Ali
Format: Journal Article
Language:English
Published: New York IEEE 01.05.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Communication
knowledge base construction
Knowledge based systems
Knowledge bases (artificial intelligence)
Matching
Network latency
next-generation ultra-reliable and low-latency communication
Optimization
Packets (communication)
Provisioning
Queueing
Reliability
Semantic communication
Semantics
Telecommunication network reliability
Throughput
vehicle service pairing
Vehicles
Vehicular ad hoc networks
vehicular networks
Wireless communication
Wireless networks
ISSN:1536-1276, 1558-2248
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Abstract Semantic communication (SemCom), as an emerging paradigm focusing on meaning delivery, has recently been considered a promising solution for the inevitable crisis of scarce communication resources. This trend stimulates us to explore the potential of applying SemCom to wireless vehicular networks, which normally consume a tremendous amount of resources to meet stringent reliability and latency requirements. Unfortunately, the unique background knowledge matching mechanism in SemCom makes it challenging to simultaneously realize efficient service provisioning for multiple users in vehicle-to-vehicle networks. To this end, this paper identifies and jointly addresses two fundamental problems of knowledge base construction (KBC) and vehicle service pairing (VSP) inherently existing in SemCom-enabled vehicular networks in alignment with the next-generation ultra-reliable and low-latency communication (xURLLC) requirements. Concretely, we first derive the knowledge matching based queuing latency specific for semantic data packets, and then formulate a latency-minimization problem subject to several KBC and VSP related reliability constraints. Afterward, a SemCom-empowered Service Supplying Solution (<inline-formula> <tex-math notation="LaTeX">\text{S}^{{4}} </tex-math></inline-formula>) is proposed along with the theoretical analysis of its optimality guarantee and computational complexity. Numerical results demonstrate the superiority of <inline-formula> <tex-math notation="LaTeX">\text{S}^{{4}} </tex-math></inline-formula> in terms of average queuing latency, semantic data packet throughput, user knowledge matching degree and knowledge preference satisfaction compared with two benchmarks.
AbstractList Semantic communication (SemCom), as an emerging paradigm focusing on meaning delivery, has recently been considered a promising solution for the inevitable crisis of scarce communication resources. This trend stimulates us to explore the potential of applying SemCom to wireless vehicular networks, which normally consume a tremendous amount of resources to meet stringent reliability and latency requirements. Unfortunately, the unique background knowledge matching mechanism in SemCom makes it challenging to simultaneously realize efficient service provisioning for multiple users in vehicle-to-vehicle networks. To this end, this paper identifies and jointly addresses two fundamental problems of knowledge base construction (KBC) and vehicle service pairing (VSP) inherently existing in SemCom-enabled vehicular networks in alignment with the next-generation ultra-reliable and low-latency communication (xURLLC) requirements. Concretely, we first derive the knowledge matching based queuing latency specific for semantic data packets, and then formulate a latency-minimization problem subject to several KBC and VSP related reliability constraints. Afterward, a SemCom-empowered Service Supplying Solution (<inline-formula> <tex-math notation="LaTeX">\text{S}^{{4}} </tex-math></inline-formula>) is proposed along with the theoretical analysis of its optimality guarantee and computational complexity. Numerical results demonstrate the superiority of <inline-formula> <tex-math notation="LaTeX">\text{S}^{{4}} </tex-math></inline-formula> in terms of average queuing latency, semantic data packet throughput, user knowledge matching degree and knowledge preference satisfaction compared with two benchmarks.
Semantic communication (SemCom), as an emerging paradigm focusing on meaning delivery, has recently been considered a promising solution for the inevitable crisis of scarce communication resources. This trend stimulates us to explore the potential of applying SemCom to wireless vehicular networks, which normally consume a tremendous amount of resources to meet stringent reliability and latency requirements. Unfortunately, the unique background knowledge matching mechanism in SemCom makes it challenging to simultaneously realize efficient service provisioning for multiple users in vehicle-to-vehicle networks. To this end, this paper identifies and jointly addresses two fundamental problems of knowledge base construction (KBC) and vehicle service pairing (VSP) inherently existing in SemCom-enabled vehicular networks in alignment with the next-generation ultra-reliable and low-latency communication (xURLLC) requirements. Concretely, we first derive the knowledge matching based queuing latency specific for semantic data packets, and then formulate a latency-minimization problem subject to several KBC and VSP related reliability constraints. Afterward, a SemCom-empowered Service Supplying Solution ([Formula Omitted]) is proposed along with the theoretical analysis of its optimality guarantee and computational complexity. Numerical results demonstrate the superiority of [Formula Omitted] in terms of average queuing latency, semantic data packet throughput, user knowledge matching degree and knowledge preference satisfaction compared with two benchmarks.
Author Xia, Le
Imran, Muhammad Ali
Sun, Yao
Feng, Lei
Niyato, Dusit
Feng, Daquan
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Cites_doi 10.1109/COMST.2020.3029723
10.1109/TWC.2019.2919280
10.1007/978-3-540-24777-7_9
10.1145/3313276.3316303
10.1007/978-1-84800-286-9
10.1007/978-1-4757-2809-5
10.1109/JPROC.2021.3053601
10.1109/MWC.101.2100269
10.1109/ICC45041.2023.10279404
10.1109/TCOMM.2017.2699194
10.1016/j.sorms.2012.08.001
10.1007/BF01194620
10.1109/MCOM.001.2001239
10.1109/TSMCC.2009.2023380
10.1109/INFOCOMWKSHPS54753.2022.9797984
10.1109/TCOMM.2022.3162366
10.1109/JSAC.2020.3036968
10.1109/LWC.2022.3170849
10.1109/TCOMM.2021.3064569
10.1109/TVT.2016.2542267
10.1287/ijoc.1.3.190
10.1109/MWC.004.2200393
10.1109/TSP.2021.3071210
10.1016/S0305-0548(00)00062-9
10.3758/s13423-014-0585-6
10.1016/j.comnet.2021.107930
10.1109/NSW.2011.6004632
10.1017/CBO9780511804441
10.1109/COMST.2018.2888904
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References ref13
ref35
ref12
ref34
Weaver (ref4) 1953; 10
ref15
ref14
ref31
ref30
ref11
ref33
ref10
ref2
ref1
ref17
ref16
Ross (ref19) 2014
ref18
ref24
Diamond (ref29) 2016; 17
ref25
ref20
ref22
ref21
ref28
ref27
ref8
ref7
ref9
ref3
Papadimitriou (ref23) 1998
ref6
ref5
Boyd (ref26) 2003; 2004
(ref32) 2016
References_xml – ident: ref12
  doi: 10.1109/COMST.2020.3029723
– volume-title: Introduction to Probability Models
  year: 2014
  ident: ref19
– ident: ref16
  doi: 10.1109/TWC.2019.2919280
– ident: ref21
  doi: 10.1007/978-3-540-24777-7_9
– ident: ref30
  doi: 10.1145/3313276.3316303
– ident: ref13
  doi: 10.1007/978-1-84800-286-9
– ident: ref22
  doi: 10.1007/978-1-4757-2809-5
– ident: ref3
  doi: 10.1109/JPROC.2021.3053601
– ident: ref10
  doi: 10.1109/MWC.101.2100269
– ident: ref1
  doi: 10.1109/ICC45041.2023.10279404
– ident: ref33
  doi: 10.1109/TCOMM.2017.2699194
– volume-title: Combinatorial Optimization: Algorithms and Complexity
  year: 1998
  ident: ref23
– ident: ref24
  doi: 10.1016/j.sorms.2012.08.001
– ident: ref20
  doi: 10.1007/BF01194620
– volume: 17
  start-page: 2909
  issue: 1
  year: 2016
  ident: ref29
  article-title: CVXPY: A Python-embedded modeling language for convex optimization
  publication-title: J. Mach. Learn. Res.
– ident: ref8
  doi: 10.1109/MCOM.001.2001239
– ident: ref18
  doi: 10.1109/TSMCC.2009.2023380
– ident: ref9
  doi: 10.1109/INFOCOMWKSHPS54753.2022.9797984
– ident: ref35
  doi: 10.1109/TCOMM.2022.3162366
– ident: ref14
  doi: 10.1109/JSAC.2020.3036968
– ident: ref15
  doi: 10.1109/LWC.2022.3170849
– ident: ref34
  doi: 10.1109/TCOMM.2021.3064569
– volume-title: 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Study on LTE-Based V2X Services; (Release 14)
  year: 2016
  ident: ref32
– ident: ref31
  doi: 10.1109/TVT.2016.2542267
– ident: ref28
  doi: 10.1287/ijoc.1.3.190
– volume: 10
  start-page: 261
  year: 1953
  ident: ref4
  article-title: Recent contributions to the mathematical theory of communication
  publication-title: ETC, A Rev. Gen. Semantics
– ident: ref11
  doi: 10.1109/MWC.004.2200393
– ident: ref6
  doi: 10.1109/TSP.2021.3071210
– ident: ref27
  doi: 10.1016/S0305-0548(00)00062-9
– volume: 2004
  start-page: 2004
  year: 2003
  ident: ref26
  article-title: Subgradient methods
  publication-title: Lect. Notes EE392o, Stanford Univ., Autumn Quarter
– ident: ref17
  doi: 10.3758/s13423-014-0585-6
– ident: ref7
  doi: 10.1016/j.comnet.2021.107930
– ident: ref5
  doi: 10.1109/NSW.2011.6004632
– ident: ref25
  doi: 10.1017/CBO9780511804441
– ident: ref2
  doi: 10.1109/COMST.2018.2888904
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SubjectTerms Communication
knowledge base construction
Knowledge based systems
Knowledge bases (artificial intelligence)
Matching
Network latency
next-generation ultra-reliable and low-latency communication
Optimization
Packets (communication)
Provisioning
Queueing
Reliability
Semantic communication
Semantics
Telecommunication network reliability
Throughput
vehicle service pairing
Vehicles
Vehicular ad hoc networks
vehicular networks
Wireless communication
Wireless networks
Title xURLLC-Aware Service Provisioning in Vehicular Networks: A Semantic Communication Perspective
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