| M. Trigka, E. Dritsas, Ph. Mylonas |
| AI-Driven Beamforming and Load Balancing in 5G Edge Networks for Smart Municipalities |
| 20th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP 2025), 27-28 November 2025, Mystras, Greece |
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ABSTRACT
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| As 5G networks evolve to support the dynamic needs of smart cities, intelligent control mechanisms at the edge are essential for ensuring adaptive connectivity and efficient resource utilization. This survey explores the intersection of artificial intelligence (AI)-driven adaptive beam-forming and load balancing within edge-enabled 5G architectures with direct relevance to smart municipal infrastructures. It systematically examines the algorithmic models, input–output representations, and learning paradigms employed for these two critical functions, which are decoupled from deployment specifics. This study further analyzes how such AI modules are integrated into standardized architectures and how they map onto the control and data planes of modern radio access network (RAN) systems. Real-world applications and system-level deployments are reviewed to highlight the practical viability of these approaches in urban settings. Finally, it discusses emerging trends and outlines a forward-looking path toward scalable, AI-native infrastructure for smart municipalities.
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| 27 November , 2025 |
| M. Trigka, E. Dritsas, Ph. Mylonas, "AI-Driven Beamforming and Load Balancing in 5G Edge Networks for Smart Municipalities", 20th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP 2025), 27-28 November 2025, Mystras, Greece |
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