The MODELLING VARIOUS ALGORITHMS OF ARTIFICIAL INTELLIGENCE IN WIRELESS COMMUNICATION SYSTEM.

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Snehasis Dey a , Dr. Prabodh Khampariya b , Dr. Manish Jain c

Abstract

5G wireless communication have been a topic of vast research in recent
years.Incidentaly in this covid pandemic period ongoing,the 5G wireless communication is
more famous and happening topic altogether.Key technologies like
Milimeterwave(mmwave),Massive MIMO,Beamforming,Artificial Intelligence(AI),Block
chain adds more specific advantages in 5G wireless communication.The basic five foundations
discussed here in 5G have given the communication a new horizon altogether in comparison to
the 4G wireless communication. For base stations the major and important problem is to
decide the optimal beamforming adjustment because they don’t have computationally powerful
resources. But on-site optimization processes would take a lot of time framing schedule and
power framing which the base stations can’t afford. To resolve this major problem, an external
inputed data training or trained data can be given and only the prediction process might be left
to the base station. Having achieving a pre-built machine learning based algorithm model
would drastically reduce the time and power needed for beamforming optimization

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How to Cite
Snehasis Dey a , Dr. Prabodh Khampariya b , Dr. Manish Jain c. (2022). The MODELLING VARIOUS ALGORITHMS OF ARTIFICIAL INTELLIGENCE IN WIRELESS COMMUNICATION SYSTEM. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 11(3), 1163–1174. https://doi.org/10.17762/turcomat.v11i3.12708
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