A Systematic Review of Artificial Intelligence Applications in Cellular Networks

Author:

Eli-Chukwu N. C.ORCID,Aloh J. M.,Ezeagwu C. O.

Abstract

Mobile technology has made communication easier and faster. People communicate in a matter of picoseconds, with little or no inhibition, regardless of their distance or location. Mobile networks are rapidly expanding all over the world. The demand led to the evolution of different technologies to meet with traffic challenges. Challenges are still evident as the cellular network system faces dynamic and chaotic behavior that needs to be resolved intelligently without human intervention. The current paper presents the state of the art of artificial intelligence (AI) in enhancing the performance of cellular networks. This paper summarizes the AI concept and reviews its applications in cellular network design, operations, and optimization. A special focus is laid on the advantages and disadvantages of AI application and a holistic study of the challenges is undertaken in order to give new research directions.

Publisher

Engineering, Technology & Applied Science Research

Reference59 articles.

1. S. Singh, P. Kumar, “Challenges and prospects of wireless network in 4G”, International Journal of Computer Applications, Vol. 133, No. 11, pp. 1-5, 2016

2. D. Banupriya, Pandi, S. Preetha, R. R. Prathisha, “A study on use of artificial intelligence in wireless communications”, Asian Journal of Applied Science and Technology, Vol. 2, No. 1, pp. 354-360, 2018

3. S. J. Russell, P. Norvig, Artificial Intelligence: A Modern Approach, Prentice Hall, 2009

4. G. Luger, W. Stubblefield, Artificial Intelligence: Structures and Strategies for Complex Problem Solving, Addison Wesley, 1993

5. R. J. Schalkoff, Artificial Intelligence: An Engineering Approach, McGraw-Hill, 1990

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