Efficient Anchor Point Deployment for Low Latency Connectivity in MEC-assisted C-V2X Scenarios

Pablo Fondo-Ferreiro; Felipe Gil-Castineira; Francisco Javier Gonzalez-Castano; David Candal-Ventureira; Jonathan Rodriguez; Antonio J. Morgado; Shahid Mumtaz

doi:10.1109/tvt.2023.3297017

Efficient Anchor Point Deployment for Low Latency Connectivity in MEC-assisted C-V2X Scenarios

Pablo Fondo-Ferreiro, Felipe Gil-Castineira^*, Francisco Javier Gonzalez-Castano, David Candal-Ventureira, Jonathan Rodriguez, Antonio J. Morgado, Shahid Mumtaz

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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Abstract

Next-generation cellular networks will play a key role in the evolution of different vertical industries. Low latency will be a major requirement in many related uses cases. This requirement is specially challenging in scenarios with high mobility of end devices, such as vehicular communications. The Multi-Access Edge Computing (MEC) paradigm seeks to satisfy it. In this paper we propose the dynamic deployment of anchor point network functions at edge locations and the assignment of terminals to these anchor points with the joint objective of minimizing communications latency and reducing network overhead. We formally define the problem as a multi-objective optimization and also propose a novel heuristic greedy algorithm for approximating the solution. This algorithm compares
favorably with baseline and state-of-the-art strategies for latency minimization while reducing the overhead caused by network
reconfigurations.

Original language	English
Article number	10127708
Pages (from-to)	16637-16649
Number of pages	13
Journal	IEEE Transactions on Vehicular Technology
Volume	72
Issue number	12
Early online date	19 Jul 2023
DOIs	https://doi.org/10.1109/tvt.2023.3297017
Publication status	Published - Dec 2023

Keywords

Electrical and Electronic Engineering
Computer Networks and Communications
Aerospace Engineering
Automotive Engineering
5G
Cellular Vehicle-to-Everything (C-V2X)
Low-latency
Multi-Access Edge Computing (MEC)
Vehicular communications

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10.1109/tvt.2023.3297017Licence: CC BY-NC-ND

Version of Record with a CC BY-NC-ND LicenceFinal published version, 1.92 MBLicence: CC BY-NC-ND

Cite this

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title = "Efficient Anchor Point Deployment for Low Latency Connectivity in MEC-assisted C-V2X Scenarios",

abstract = "Next-generation cellular networks will play a key role in the evolution of different vertical industries. Low latency will be a major requirement in many related uses cases. This requirement is specially challenging in scenarios with high mobility of end devices, such as vehicular communications. The Multi-Access Edge Computing (MEC) paradigm seeks to satisfy it. In this paper we propose the dynamic deployment of anchor point network functions at edge locations and the assignment of terminals to these anchor points with the joint objective of minimizing communications latency and reducing network overhead. We formally define the problem as a multi-objective optimization and also propose a novel heuristic greedy algorithm for approximating the solution. This algorithm comparesfavorably with baseline and state-of-the-art strategies for latency minimization while reducing the overhead caused by network reconfigurations. ",

keywords = "Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Automotive Engineering, 5G, Cellular Vehicle-to-Everything (C-V2X), Low-latency, Multi-Access Edge Computing (MEC), Vehicular communications",

author = "Pablo Fondo-Ferreiro and Felipe Gil-Castineira and Gonzalez-Castano, {Francisco Javier} and David Candal-Ventureira and Jonathan Rodriguez and Morgado, {Antonio J.} and Shahid Mumtaz",

year = "2023",

month = dec,

doi = "10.1109/tvt.2023.3297017",

language = "English",

volume = "72",

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journal = "IEEE Transactions on Vehicular Technology",

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publisher = "Institute of Electrical and Electronics Engineers",

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AU - Fondo-Ferreiro, Pablo

AU - Gil-Castineira, Felipe

AU - Gonzalez-Castano, Francisco Javier

AU - Candal-Ventureira, David

AU - Rodriguez, Jonathan

AU - Morgado, Antonio J.

AU - Mumtaz, Shahid

PY - 2023/12

Y1 - 2023/12

N2 - Next-generation cellular networks will play a key role in the evolution of different vertical industries. Low latency will be a major requirement in many related uses cases. This requirement is specially challenging in scenarios with high mobility of end devices, such as vehicular communications. The Multi-Access Edge Computing (MEC) paradigm seeks to satisfy it. In this paper we propose the dynamic deployment of anchor point network functions at edge locations and the assignment of terminals to these anchor points with the joint objective of minimizing communications latency and reducing network overhead. We formally define the problem as a multi-objective optimization and also propose a novel heuristic greedy algorithm for approximating the solution. This algorithm comparesfavorably with baseline and state-of-the-art strategies for latency minimization while reducing the overhead caused by network reconfigurations.

AB - Next-generation cellular networks will play a key role in the evolution of different vertical industries. Low latency will be a major requirement in many related uses cases. This requirement is specially challenging in scenarios with high mobility of end devices, such as vehicular communications. The Multi-Access Edge Computing (MEC) paradigm seeks to satisfy it. In this paper we propose the dynamic deployment of anchor point network functions at edge locations and the assignment of terminals to these anchor points with the joint objective of minimizing communications latency and reducing network overhead. We formally define the problem as a multi-objective optimization and also propose a novel heuristic greedy algorithm for approximating the solution. This algorithm comparesfavorably with baseline and state-of-the-art strategies for latency minimization while reducing the overhead caused by network reconfigurations.

KW - Electrical and Electronic Engineering

KW - Computer Networks and Communications

KW - Aerospace Engineering

KW - Automotive Engineering

KW - 5G

KW - Cellular Vehicle-to-Everything (C-V2X)

KW - Low-latency

KW - Multi-Access Edge Computing (MEC)

KW - Vehicular communications

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DO - 10.1109/tvt.2023.3297017

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EP - 16649

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

IS - 12

M1 - 10127708

ER -

Efficient Anchor Point Deployment for Low Latency Connectivity in MEC-assisted C-V2X Scenarios

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Keywords

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