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Author

Arun Kodirekka

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Open access Sep 2026

Hybrid supervised–unsupervised machine learning model for proactive congestion control in 5G networks

A hybrid congestion control prediction model that integrates supervised and unsupervised machine learning techniques is proposed that enhances real-time traffic management, ensuring improved QoS, reliability, and resilience in complex 5G environments.

Arun Kodirekka, I. M. Krishna, N. Srinivas et al. · 0 citations

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