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  Published Paper Details:

  Paper Title

DESIGN AND ANALYZE THE 5G AND BEYOND NETWORKS USING SEVERAL MACHINE LEARNING ALGORITHMS

  Authors

  Dr.K.N.S LAKSHMI,  AZEEM.SK

  Keywords

Sixth Generation, Machine Learning, Artificial Intelligence, Wireless Technologies

  Abstract


In today's world, wireless communication systems are extremely important for applications related to entertainment, business, commerce, health, and safety. The deployment of fifth generation (5G) wireless technologies is currently taking place all around the world as these systems continue to advance from one generation to the next. Beyond 5G wireless systems, which will represent the sixth generation (6G) of the evolution, are already being discussed in academia and industry. The application of artificial intelligence (AI) and machine learning (ML) to such wireless networks will be one of the primary and essential elements of 6G systems. According to our present understanding of wireless technologies up to 5G, every component and building block of a wireless system, such as the physical, network, and application layers, will involve one or more of them. Here we try to use several ML algorithms to identify the suitable aspects related to the deployment of 5g and above networks by taking several features and ml algorithms into account. By comparing several algorithms we finally conclude which algorithm is best among several algorithms.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2303378

  Paper ID - 232595

  Page Number(s) - d283-d290

  Pubished in - Volume 11 | Issue 3 | March 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr.K.N.S LAKSHMI,  AZEEM.SK,   "DESIGN AND ANALYZE THE 5G AND BEYOND NETWORKS USING SEVERAL MACHINE LEARNING ALGORITHMS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 3, pp.d283-d290, March 2023, Available at :http://www.ijcrt.org/papers/IJCRT2303378.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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