Machine Learning-Based Early Warning System for Transport-Layer Bottlenecks in Open-Source 5G Testbeds
The transition toward disaggregated, software-defined 5G Standalone (SA) infrastructures has shifted much of the end-to-end latency budget from the radio interface into the transport and computational layers, where bufferbloat and congestion-window collapse degrade Quality of Service before any packet is lost. Contempo...