Techno-economic analysis of MEC clustering models for seamless CCAM service provision
- Author
- Asma Chiha Ep Harbi (UGent) , Benoit Denis, Sofie Verbrugge (UGent) and Didier Colle (UGent)
- Organization
- Abstract
- The latency requirements of delay-sensitive applications such as cooperative, connected, and automated mobility (CCAM) services challenge the capabilities of traditional vehicular radio access technologies (i.e., IEEE 802.11P and cellular networks). To this end, the 5G cellular network is adopting the multi-access edge computing (MEC) paradigm. However, the use of this technology comes with several challenges. In this article, MEC placement challenges and their impact on network deployment costs are studied. We propose three MEC clustering models and compare them from a cost perspective. Results show that all the MEC clustering models outperform the non-clustering approach. In addition, the conditions in which specific clustering models yield the most optimal results are analyzed. Results aim to provide insights into cost-effective MEC deployment models.
- Keywords
- Cellular networks, Analytical models, Costs, Network topology, Computational modeling, Stars, Telecommunication traffic, 5G
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01GVZ4JHM7BEAFYN4Z3PYEF3TC
- MLA
- Chiha Ep Harbi, Asma, et al. “Techno-Economic Analysis of MEC Clustering Models for Seamless CCAM Service Provision.” IEEE COMMUNICATIONS MAGAZINE, vol. 61, no. 2, 2023, pp. 32–37, doi:10.1109/MCOM.001.2200299.
- APA
- Chiha Ep Harbi, A., Denis, B., Verbrugge, S., & Colle, D. (2023). Techno-economic analysis of MEC clustering models for seamless CCAM service provision. IEEE COMMUNICATIONS MAGAZINE, 61(2), 32–37. https://doi.org/10.1109/MCOM.001.2200299
- Chicago author-date
- Chiha Ep Harbi, Asma, Benoit Denis, Sofie Verbrugge, and Didier Colle. 2023. “Techno-Economic Analysis of MEC Clustering Models for Seamless CCAM Service Provision.” IEEE COMMUNICATIONS MAGAZINE 61 (2): 32–37. https://doi.org/10.1109/MCOM.001.2200299.
- Chicago author-date (all authors)
- Chiha Ep Harbi, Asma, Benoit Denis, Sofie Verbrugge, and Didier Colle. 2023. “Techno-Economic Analysis of MEC Clustering Models for Seamless CCAM Service Provision.” IEEE COMMUNICATIONS MAGAZINE 61 (2): 32–37. doi:10.1109/MCOM.001.2200299.
- Vancouver
- 1.Chiha Ep Harbi A, Denis B, Verbrugge S, Colle D. Techno-economic analysis of MEC clustering models for seamless CCAM service provision. IEEE COMMUNICATIONS MAGAZINE. 2023;61(2):32–7.
- IEEE
- [1]A. Chiha Ep Harbi, B. Denis, S. Verbrugge, and D. Colle, “Techno-economic analysis of MEC clustering models for seamless CCAM service provision,” IEEE COMMUNICATIONS MAGAZINE, vol. 61, no. 2, pp. 32–37, 2023.
@article{01GVZ4JHM7BEAFYN4Z3PYEF3TC,
abstract = {{The latency requirements of delay-sensitive applications such as cooperative, connected, and automated mobility (CCAM) services challenge the capabilities of traditional vehicular radio access technologies (i.e., IEEE 802.11P and cellular networks). To this end, the 5G cellular network is adopting the multi-access edge computing (MEC) paradigm. However, the use of this technology comes with several challenges. In this article, MEC placement challenges and their impact on network deployment costs are studied. We propose three MEC clustering models and compare them from a cost perspective. Results show that all the MEC clustering models outperform the non-clustering approach. In addition, the conditions in which specific clustering models yield the most optimal results are analyzed. Results aim to provide insights into cost-effective MEC deployment models.}},
author = {{Chiha Ep Harbi, Asma and Denis, Benoit and Verbrugge, Sofie and Colle, Didier}},
issn = {{0163-6804}},
journal = {{IEEE COMMUNICATIONS MAGAZINE}},
keywords = {{Cellular networks,Analytical models,Costs,Network topology,Computational modeling,Stars,Telecommunication traffic,5G}},
language = {{eng}},
number = {{2}},
pages = {{32--37}},
title = {{Techno-economic analysis of MEC clustering models for seamless CCAM service provision}},
url = {{http://doi.org/10.1109/MCOM.001.2200299}},
volume = {{61}},
year = {{2023}},
}
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