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.
· Indonesian Journal of Electr... · 0 citations