Man-made Brain Power for 5G Wireless Systems


Authors : Golla Rakesh; Chithram Vijaya Preethi

Volume/Issue : Volume 7 - 2022, Issue 4 - April

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/38cQ6sd

DOI : https://doi.org/10.5281/zenodo.6535514

The appearance of the remote correspondences frameworks forecasts new state of the art advances, including self-driving vehicles, automated elevated frameworks, independent robots, the internet of Things, and computer generated reality. These advancements require high information rates, super low inertness, and high unwavering quality, which are all guaranteed by the fifth era of remote correspondence frameworks (5G). Many examination bunches express that 5G can't fulfill its needs without man-made reasoning (simulated intelligence) combination as 5G remote organizations are supposed to produce exceptional traffic giving remote exploration originators admittance to large information that can help in anticipating the requests and change cell plans to meet the clients' necessities. In this manner, numerous scientists applied man-made intelligence in numerous parts of 5G remote correspondence configuration including radio asset assignment, network the executives, and digital protection. In this paper, we give an inside and out survey of man-made intelligence for 5G remote correspondence frameworks. In this regard, the point of this paper is to overview man-made intelligence in 5G remote correspondence frameworks by talking about many contextual analyses and the related difficulties, and revealing new insight into future exploration headings for utilizing simulated intelligence in 5G remote interchanges.

Keywords : 5G Wireless Communication, Machine Learning, Deep Learning, Energy Efficiency, Channel Coding, Scheduling, Cyber security.

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