Harnessing Machine Learning for Intelligent Networking in 5G Technology and Beyond: Advancements, Applications and Challenges

Dulaj K. Alhammadi A. Shayea I. El-Saleh A.A. Alnakhli M.
2025 Institute of Electrical and Electronics Engineers Inc.

IEEE Open Journal of Intelligent Transportation Systems
2025 #6 605 - 633 pp.

A revolutionary age in telecommunications is being ushered in by the confluence of machine learning (ML) with fifth-generation (5G) wireless communication technologies and beyond. This research investigates ML approaches in 5G networks for adaptive spectrum usage, quality of service (QoS) management, predictive maintenance, and network optimization. By leveraging ML algorithms, 5G networks can forecast user behavior, allocate resources optimally, and dynamically adjust to changing conditions, enhancing performance and dependability. Additionally, ML-driven methods improve cybersecurity in 5G settings. Furthermore, the integration of ML in 5G networks is pivotal for advancing intelligent transportation systems, enabling dynamic route optimization, adaptive traffic management, and enhanced vehicular communication. Intelligent networks will transform wireless communication by replacing traditional processing with end-to-end solutions, utilizing cognitive radio systems and deep reinforcement learning for optimized spectrum sharing and efficiency. Despite significant potential, challenges such as interoperability, security, scalability, and energy efficiency must be addressed. This paper discusses these challenges and highlights future trends beyond 5G, emphasizing MLs critical role in shaping the future of wireless communication systems.

5G networks , cybersecurity , energy efficiency , intelligent transportation , interoperability , machine learning , network optimization , predictive maintenance , quality of service management , scalability , spectrum utilization

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Istanbul Technical University, Faculty of Electrical and Electronics Engineering, Electronics and Communication Engineering Department, Sarıyer, 34467, Turkey
University of Technology Malaysia, Faculty of Artificial Intelligence, Kuala Lumpur, 54100, Malaysia
Astana IT University, Department of Intelligent Systems and Cybersecurity, Astana, 010000, Kazakhstan
A’Sharqiyah University, College of Engineering, Ibra, 400, Oman
Prince Sattam Bin Abdulaziz University, College of Engineering, Electrical Engineering Department, Wadi ad-Dawasir, 11991, Saudi Arabia

Istanbul Technical University
University of Technology Malaysia
Astana IT University
A’Sharqiyah University
Prince Sattam Bin Abdulaziz University

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