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The advent of sixth-generation (6G) networks promises revolutionary advancements in wireless communication, marked by unprecedented speeds, ultra-low latency, and ubiquitous connectivity. This research paper delves into the integration of Artificial Intelligence (AI) in 6G network applications, exploring the challenges and outlining future directions for this transformative synergy. The study investigates the key AI technologies for 6G: the potential of AI to optimize network performance, enhance user experience, and enable novel applications in diverse domains and AI-enabled applications. Analyzing the current landscape, the paper identifies key challenges such as scalability, security, and ethical considerations in deploying AI-enabled 6G networks. Moreover, it explores the dynamic interplay between AI and 6G technologies, shedding light on the intricate relationships that underpin their successful integration. The research contributes valuable insights to the ongoing discourse surrounding the convergence of AI and 6G networks, laying the groundwork for a robust and intelligent future communication infrastructure.
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M. W. P. Maduranga
Valmik Tilwari
R. M. M. R. Rathnayake
Telecom
Sri Lanka Institute of Information Technology
General Sir John Kotelawala Defence University
Indian Institute of Information Technology Guwahati
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Maduranga et al. (Fri,) studied this question.
www.synapsesocial.com/papers/68e5be7bb6db643587556699 — DOI: https://doi.org/10.3390/telecom5030041
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