University of Oulu

G. Gür et al., "Integration of ICN and MEC in 5G and Beyond Networks: Mutual Benefits, Use Cases, Challenges, Standardization, and Future Research," in IEEE Open Journal of the Communications Society, vol. 3, pp. 1382-1412, 2022, doi: 10.1109/OJCOMS.2022.3195125

Integration of ICN and MEC in 5G and beyond networks : mutual benefits, use cases, challenges, standardization, and future research

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Author: Gür, Gürkan1; Kalla, Anshuman2; de Alwis, Chamitha3;
Organizations: 1Institute of Applied Information Technology, Zurich University of Applied Sciences (ZHAW), 8400 Winterthur, Switzerland
2CGPIT, Uka Tarsadia University, Barodli 394350, India
3Department of Electrical and Electronic Engineering, University of Sri Jayewardeneprua, Nugegoda 10250, Sri Lanka
4Korean Southeast Center for the 4th Industrial Revolution Leader Education, Pusan National University, Busan 46241, South Korea
5Department of Electrical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden
6Advanced Institute of Engineering and Technology, University of Engineering and Technology, Vietnam National University Hanoi, Hanoi 100000, Vietnam
7School of Computer Science, University College Dublin, Dublin 4, D04 V1W8 Ireland
8Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 4.6 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2022-10-05


Multi-access Edge Computing (MEC) is a novel edge computing paradigm that moves cloudbased processing and storage capabilities closer to mobile users by implementing server resources in the access nodes. MEC helps fulfill the stringent requirements of 5G and beyond networks to offer anytimeanywhere connectivity for many devices with ultra-low delay and huge bandwidths. Information-Centric Networking (ICN) is another prominent network technology that builds on a content-centric network architecture to overcome host-centric routing/operation shortcomings and to realize efficient pervasive and ubiquitous networking. It is envisaged to be employed in Future Internet including Beyond 5G (B5G) networks. The consolidation of ICN with MEC technology offers new opportunities to realize that vision and serve advanced use cases. However, various integration challenges are yet to be addressed to enable the wide-scale co-deployment of ICN with MEC in future networks. In this paper, we discuss and elaborate on ICN MEC integration to provide a comprehensive survey with a forward-looking perspective for B5G networks. In that regard, we deduce lessons learned from related works (for both 5G and B5G networks). We present ongoing standardization activities to highlight practical implications of such efforts. Moreover, we render key B5G use cases and highlight the role for ICN MEC integration for addressing their requirements. Finally, we layout research challenges and identify potential research directions. For this last contribution, we also provide a mapping of the latter to ICN integration challenges and use cases.

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Series: IEEE open journal of the Communications Society
ISSN: 2644-125X
ISSN-E: 2644-125X
ISSN-L: 2644-125X
Volume: 3
Pages: 1382 - 1412
DOI: 10.1109/ojcoms.2022.3195125
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported in part by the Academy of Finland under 6Genesis Flagship Project under Grant 318927; in part by the Science Foundation Ireland through Connect Center under Project 13/RC/2077_P2; and in part by the Academy of Finland under 6Genesis Project under Grant 318927. The work of Quoc-Viet Pham was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korean Government (MSIT) under Grant NRF-2019R1C1C1006143, and in part by BK21 Four, Korean Southeast Center for the 4th Industrial Revolution Leader Education. The work of Khac-Hoang Ngo was supported by the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie under Grant 101022113.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
Copyright information: © The Author(s) 2022. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see