Revolutionizing Wireless Communication: AI & ; ML in the Era of 6G

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nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n

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Year : 2025 [if 2224 equals=””]06/10/2025 at 11:09 AM[/if 2224] | [if 1553 equals=””] Volume : 12 [else] Volume : 12[/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03 | Page :

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    Arpita Bainsla, S Hassija,

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  1. Research Scholar, Research Scholar, Department of Computer Applications in Data Science Engineering, Echelon Institute of Technology, Faridabad, Department of Computer Applications , Echelon Institute of Technology, Faridabad, Uttar Pradesh, Uttar Pradesh, India, India

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Abstract

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nWith rapid technological advancement, sophisticated techniques are significantly enhancing the performance of wireless networks. In parallel, the growth of artificial intelligence (AI) has empowered systems to perform intelligent decision-making, automate processes, analyze data, generate insights, and predict future outcomes. AI systems are now capable of learning and adapting to dynamic environments. Particularly, machine learning and deep learning techniques have achieved remarkable success across a wide range of applications in recent years. These technologies are revolutionizing how wireless networks operate by making them more efficient, responsive, and intelligent, thereby shaping the future of communication systems and digital connectivity across domains. This paper explores the integration of artificial intelligence (AI) and machine learning (ML) in electronics and communication engineering (ECE), particularly within wireless communication technologies and networks. The fusion of AI and ML is rapidly transforming the field due to their exceptional ability to solve complex problems and overcome significant challenges. These technologies not only provide innovative solutions but also enhance the overall efficiency and performance of wireless systems. By addressing and resolving intricate issues, AI and ML are revolutionizing how communication networks are designed, optimized, and maintained, marking a significant step forward in the advancement of modern wireless communication engineering.nn

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Keywords: Artificial Intelligence (AI), Machine Learning (ML), Wireless Communication, 5G and 6G Networks, Neural Networks, Deep Learning Algorithms, Signal Processing.

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Telecommunication, Switching Systems and Networks ]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Telecommunication, Switching Systems and Networks (jotssn)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article:
nArpita Bainsla, S Hassija. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]Revolutionizing Wireless Communication: AI & ; ML in the Era of 6G[/if 2584]. Journal of Telecommunication, Switching Systems and Networks. 06/10/2025; 12(03):-.

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How to cite this URL:
nArpita Bainsla, S Hassija. [if 2584 equals=”][226 striphtml=1][else]Revolutionizing Wireless Communication: AI & ; ML in the Era of 6G[/if 2584]. Journal of Telecommunication, Switching Systems and Networks. 06/10/2025; 12(03):-. Available from: https://journals.stmjournals.com/jotssn/article=06/10/2025/view=0

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Original Research

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Volume 12
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03
Received 05/07/2025
Accepted 31/07/2025
Published 06/10/2025
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Publication Time 93 Days

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