Artificial Intelligence and Big Data Analytics Contemporary-Generation Wireless Network

Author:

Christodoss Prasanna Ranjith1ORCID,Vaidhyanathan Thamarai Selvi2,Pandian Vaidhyanathan1,S. Syed Khaja Mohideen3ORCID,T. Karthikeyan3

Affiliation:

1. University of Technology and Applied Sciences, Shinas, Oman

2. Sohar University, Oman

3. University of Technology and Applied Sciences, Salalah, Oman

Abstract

Next-generation wireless technologies are becoming more complex due to the diverse applications, devices, and networks, as well as service expectations. Mobile network operators (MNOs) must optimize infrastructure, power, and bandwidth to meet the performance and optimization requirements of a multifarious network. Current networking tactics and conventional data analysis technologies have limited capabilities. A data-driven next-generation wireless communication model is considered, leveraging advanced statistical analysis for MNOs' networks. The role of artificial intelligence (AI) in providing intelligence to networks, such as confidence, self-adaptation, proactivity, and predictive behavior, is also investigated. The benefits and drawbacks of integrating big data analytics and AI into modern wireless networks are also discussed.

Publisher

IGI Global

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