Efficient anchor point deployment for low latency connectivity in MEC-assisted C-V2X scenarios

Fondo-Ferreiro, P, Gil-Castineira, F, Gonzalez-Castano, FJ, Candal-Ventureira, D, Rodriguez, J, Morgado, AJ and Mumtaz, S ORCID: https://orcid.org/0000-0001-6364-6149, 2023. Efficient anchor point deployment for low latency connectivity in MEC-assisted C-V2X scenarios. IEEE Transactions on Vehicular Technology. ISSN 0018-9545

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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.

Item Type:	Journal article
Publication Title:	IEEE Transactions on Vehicular Technology
Creators:	Fondo-Ferreiro, P., Gil-Castineira, F., Gonzalez-Castano, F.J., Candal-Ventureira, D., Rodriguez, J., Morgado, A.J. and Mumtaz, S.
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Date:	19 July 2023
ISSN:	0018-9545
Identifiers:	Number Type 10.1109/tvt.2023.3297017 DOI 1784581 Other
Rights:	© Copyright 2023 IEEE - All rights reserved. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Divisions:	Schools > School of Science and Technology
Record created by:	Linda Sullivan
Date Added:	21 Jul 2023 11:13
Last Modified:	21 Jul 2023 11:13
URI:	https://irep.ntu.ac.uk/id/eprint/49416

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