Artificial Intelligence Enabled Wireless Networking for Beyond 5G
Author(s): Ashwini G T
Authors Affiliations:
Assistant Professor
Department of Information Science and Engineering GM University
Beyond 5G (B5G) networks are replacing fifth-generation (5G) Wireless networks due to the demand for highly dependable, low-latency, and high-capacity communication systems that can handle advanced applications such as autonomous systems, smart cities, and immersive technologies. B5G networks aim to address the shortcomings of 5G by incorporating state-of-the-art technologies to enhance scalability, coverage, energy efficiency, and security. One of the main factors enabling B5G innovation is the combination of artificial intelligence (AI) and machine learning (ML), which are revolutionary in simplifying network operations, resource management, spectrum utilization, and real-time decision-making. This paper examines the application of AI and ML to B5G network design and operation and covers a variety of topics related to wireless network design and optimization, such as physical layer research, channel measurements, modeling, and estimates, as well as network administration and optimization. An outline of common advancements in the use of AI/ML algorithms to B5G networks follows a discussion of ML algorithms and their applications to B5G networks. Future challenges in applying AI/ML to B5G networks are discussed in our study's conclusion.
Ashwini G T(2025); Artificial Intelligence Enabled Wireless Networking for Beyond 5G, International Journal of Research Culture Society, ISSN(O): 2456-6683, Volume – 9, Issue – 2., Pp.115-121. Available on – https://ijrcs.org/
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