Abstract
Along with commercial use globally, 5G system is getting more and more attention from various vertical industries for its excellent network capabilities, where one of the key enabling technologies is Multi-access Edge Computing (MEC). MEC is a network solution that provides services and functions required by users on the nearby edge computing platform, ensuring low latency, high stability and sufficient capability, and hence is more suitable for real-time scenarios compared to the conventional fully central cloud-based paradigm. The integrated 5G MEC system brings the connectivity, computing and applications together in a converged ecosystem that will enable differentiated service innovations and empower intelligent transformation of vertical industries. In this paper, we introduce the principle and architecture of the integrated 5G MEC system, and propose an innovative application of 5G MEC based intelligent video analytics. By performing an on-site experiment, we validate the feasibility and performance of the proposed scheme, and then discuss the features and applicable scopes between edge-based and conventional cloud-based paradigms.
This work is supported by National Key R&D Program of China (2020AAA0109603).
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Wang, H., Xing, C., Zhang, LJ. (2022). Integrated 5G MEC System and Its Application in Intelligent Video Analytics. In: Zhang, LJ. (eds) Edge Computing – EDGE 2021. EDGE 2021. Lecture Notes in Computer Science(), vol 12990. Springer, Cham. https://doi.org/10.1007/978-3-030-96504-4_3
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DOI: https://doi.org/10.1007/978-3-030-96504-4_3
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