| Issue |
ITM Web Conf.
Volume 69, 2024
International Conference on Mobility, Artificial Intelligence and Health (MAIH2024)
|
|
|---|---|---|
| Article Number | 04010 | |
| Number of page(s) | 5 | |
| Section | Transactions | |
| DOI | https://doi.org/10.1051/itmconf/20246904010 | |
| Published online | 13 December 2024 | |
Enhancing 5G Networks with Edge Computing: An Overview Study
1 SSA Team, National School of Applied Sciences, Cadi Ayyad University, Marrakech, Morocco
2 Department of ComputerScience, CRMEF Marrakech - Safi, Morocco
* Corresponding author: h.chaouki.ced@uca.ac.ma
This paper explores the synergies between Multi-access Edge Computing (MEC) and 5G technology, including their methodologies, characteristics, and architectures. MEC is a new computing model proposed within the framework of the rapid development of IoT, AI, and big data, aiming to bring cloud capabilities closer to the network edge. Its role is to reduce the distance between the data source and processing resources. Local data processing by edge servers reduces traffic volume and increases bandwidth, thus providing high data throughput and paving the way for 5G applications. Combining edge computing with other technologies such as SDN, NFV, NS, Massive MIMO, and NOMA enhances data management and quality of service, supporting highly interactive applications.
Key words: edge computing / 5G, SDN / NFV / NS / Massive MIMO / and NOMA
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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