AI and Machine Learning for 6G-enabled IoT

Authors

  • D. Pan Satbayev University, Kazakhstan
  • A. Razaque Satbayev University, Kazakhstan
  • A. Matkarimova Satbayev University, Kazakhstan

DOI:

https://doi.org/10.51301/ce.2025.i1.04

Keywords:

artificial intelligence, 6G, Internet of Things, machine learning, RNN, LSTM

Abstract

The rapid advancement of wireless communication technologies has brought about a transformative era of connectivity. With the evolution towards the sixth generation (6G) networks, the integration of Internet of Things (IoT) and Artificial Intelligence (AI) is set to redefine industries by enhancing efficiency, reducing latency, and fostering innovative applications. IoT, a critical enabler of smart environments, requires robust communication systems to support the massive number of interconnected devices. However, current 5G networks face challenges in addressing the exponential data demands, energy efficiency, and real-time responsiveness needed for IoT ecosystems.

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Published

2025-03-31

How to Cite

Pan, D. ., Razaque, A. ., & Matkarimova, A. . (2025). AI and Machine Learning for 6G-enabled IoT . Computing &Amp; Engineering, 3(1), 24–28. https://doi.org/10.51301/ce.2025.i1.04

Issue

Vol. 3 No. 1 (2025): Computing & Engineering

Section

Automation, Robotics, and Intelligent Systems

License

Copyright (c) 2025 Computing & Engineering

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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