AI-powered network optimization for next-generation wireless connectivity: exploring 5G/6G networks
Osama AlQahtani ()
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Osama AlQahtani: Jazan University
Telecommunication Systems: Modelling, Analysis, Design and Management, 2025, vol. 88, issue 3, No 4, 14 pages
Abstract:
Abstract The present study focuses on the AI’s role in the realization of 5G and 6G networks. It underscores the necessity for mobile networks which should be able to accommodate changing technical requirements and, thus, provide seamless and adaptive services to the users. The 6G network development is regarded as a strategic reaction to the demand for extremely high-speed and ubiquitous wireless Internet. The study introduces the network evolution from 1G to 6G and emphasizes that network optimization is crucial for 5G and 6G as well as for their deployment. It also tackles the flaws in network optimization as well as the need for innovative AI algorithms to effectively carry out automated network management and get maximum performance. The research objective is to help solve the narrative of how AI can serve as the base of 6G networks which can satisfy the preferences of the very fast, trustworthy and versatile wireless connectivity.
Keywords: AI; Network Optimization; Wireless Communication; Mobile Networks; Intelligent solutions; Network Automation (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:telsys:v:88:y:2025:i:3:d:10.1007_s11235-025-01303-0
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DOI: 10.1007/s11235-025-01303-0
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