Machine Learning Algorithms in 5g Cellular Network for Efficient Cognition

Chandra Sekhar Pasumarthi,Akash Jain, Narender Ravula,Shanthi Palaniappan,Sankararao Majji,S K Mydhili

2021 4th International Conference on Computing and Communications Technologies (ICCCT)(2021)

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摘要
In today's communications and information technology business, cellular mobile networks are one of the technologies that has had the most significant impact on the industry. As part of the steps made to improve the overall quality of life, many aspects of everyday living, as well as technical breakthroughs, are becoming increasingly reliant on smart gadgets, which are becoming increasingly common. It is projected that, in the near future, every electric gadget will be a smart device that can be connected to the internet on a regular basis. A new network paradigm known as the vast cellular Internet of Things is created as a result, in which a large number of simple battery-powered heterogeneous devices work together for the improvement of humanity in all aspects. This system was developed in accordance with the standard simulation specifications for such systems, and the realistic data that will be extracted from it will aid in demonstrating the effectiveness of the proposed algorithms in order for them to be included in the 5G cellular communications technology.
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关键词
5g Cellular,Internet of Thing,Network design
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