Evolving Mobile Communication Using Artificial Intelligence

The importance of artificial intelligence (AI) in enhancing Mobile Communication (MC) is covered in this abstract, especially in light of the developing 5G and impending 6G networks. The study examines a number of AI methods, including fuzzy logic, reinforcement learning and neural networks, how they are used in MC. It draws attention to how AI might improve the efficiency of networks, solve problems, and meet the rising demand for mobile services that are quicker, more dependable, and more customized. While taking into account the ethical and technological requirements for AI integration, the paper also looks at how AI can affect future technologies, such as intelligent traffic management, maintenance prediction, and tracking the environment. In order to secure responsible AI development, the article highlights the necessity of cooperation between industry, academia, and government. In the end, it offers a thorough analysis of how AI can transform mobile communication, shedding light on the potential advantages and difficulties of implementing AI in networks of the future.

Publication Details

Published
2025-07-21
DOI
https://doi.org/10.46632/jemm/8/2/12
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Evolving Mobile Communication Using Artificial Intelligence

Robotics and Automated Systems
article

Evolving Mobile Communication Using Artificial Intelligence

article en

Abstract

The importance of artificial intelligence (AI) in enhancing Mobile Communication (MC) is covered in this abstract, especially in light of the developing 5G and impending 6G networks. The study examines a number of AI methods, including fuzzy logic, reinforcement learning and neural networks, how they are used in MC. It draws attention to how AI might improve the efficiency of networks, solve problems, and meet the rising demand for mobile services that are quicker, more dependable, and more customized. While taking into account the ethical and technological requirements for AI integration, the paper also looks at how AI can affect future technologies, such as intelligent traffic management, maintenance prediction, and tracking the environment. In order to secure responsible AI development, the article highlights the necessity of cooperation between industry, academia, and government. In the end, it offers a thorough analysis of how AI can transform mobile communication, shedding light on the potential advantages and difficulties of implementing AI in networks of the future.

Vol. 8(2)
Openalex Percentile: Top 80%
Robotics and Automated Systems
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Evolving Mobile Communication Using Artificial Intelligence · (2025) | TGRS Research Map | TGRS