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Open Access

Intelligent Computational Model for Energy Efficiency and AI Automation of Network Devices in 5G Communication Environment

Department of Electronics and Communication Engineering, Uttarakhand Technical University, Dehradun 248007, India
Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore 641202, India
Department of Computer Science and Engineering, CMR Institute of Technology, Karnataka 560037, India
Department of Information Science and Engineering, CMR Institute of Technology, Karnataka 560037, India
Advanced and Innovative Research Laboratory, Dehradun 248001, India
Department of Electronics and Communication Engineering, Graphic Era (Deemed to be University), Dehradun 248007, India
Department of Physics, College of Science and Humanities, Prince Sattam Bin Abdulaziz University, Al-Kharj 16273, Saudi Arabia
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Abstract

Currently, the 4G network service has caused massive digital growth in high use. Video calling has become the go-to Internet application for many people, downloading even huge files in minutes. Everyone is looking for and buying only 4G Subscriber Identity Module (SIM)-capable mobiles. In this case, the expectation of 5G has increased in line with 2G, 3G, and 4G, where the G stands for generation, and it does not indicate Internet or Internet speed. 5G includes next-generation features that are more advanced than those available in 4G network services. The main objective of 5G is uninterrupted telecommunication service in hybrid energy storage system. This paper proposes an intelligent networking model to obtain the maximum energy efficiency and Artificial Intelligence (AI) automation of 5G networks. There is currently an issue where the signal cuts out when crossing an area with one tower and traveling to an area with another tower. The problem of “call drop”, where the call is disconnected while talking, is not present in 5G. The proposed Intelligent Computational Model (ICM) model obtained 96.31% network speed management, 90.63% battery capacity management, 92.27% network device management, 93.57% energy efficiency, and 88.41% AI automation.

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Tsinghua Science and Technology
Pages 1728-1751
Cite this article:
Bagwari A, Logeshwaran J, Raja M, et al. Intelligent Computational Model for Energy Efficiency and AI Automation of Network Devices in 5G Communication Environment. Tsinghua Science and Technology, 2024, 29(6): 1728-1751. https://doi.org/10.26599/TST.2024.9010005

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Received: 13 February 2023
Revised: 11 November 2023
Accepted: 26 December 2023
Published: 20 June 2024
© The Author(s) 2024.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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