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Title	The Fusion Of Edge Computing And Artificial Intelligence In 5G Communication
ID_Doc	55564
Authors	Zhang P.; Zhu H.
Year	2024
Published	ACM International Conference Proceeding Series
DOI	http://dx.doi.org/10.1145/3653644.3653656
Abstract	With the rapid development of modern communication technology, in the fields of the Internet of Things, smart cities and autonomous driving, in order to meet the high bandwidth and low latency characteristics of 5G (5th-Generation) networks, as well as the urgent needs of processing massive data and providing real-time intelligent services, it is imperative to improve and optimize the communication AI (Artificial Intelligence) model. Therefore, this paper moves data processing and analysis from the centralized cloud to the edge of the network, near the user access point, aiming to reduce data transfer time and improve response speed, and utilizes artificial intelligence technology to enable more efficient and adaptive network management and service customization. This paper focuses on the role and advantages of edge computing in 5G communication, the application of artificial intelligence combined with edge computing in 5G communication, and the realization of edge AI technology architecture. Finally, two sets of simulation results are as follows: The average accuracy error of the optimized edge AI model and cloud AI model is less than 1%, and the average response time is reduced by 31.9ms. The research helps to better understand network behavior, predict and manage traffic, and dynamically deploy resources. © 2024 Copyright held by the owner/author(s).
Author Keywords	5G communication; Artificial intelligence; Edge computing; Fusion research

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