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1. Introduction Modern 5G radio access networks have reached a level of complexity where traditional automation approaches are no longer sufficient. While machine learning has been widely adopted in telecom analytics, most deployed solutions still behave as passive systems: they ingest data, run inference, and output a score, label, or alert. In practice, experienced RAN engineers do not work this way. They observe symptoms, form hypotheses, validate those hypotheses by check

Case Study – Low throughput issue mitigation Introduction The complexity of today’s telecom networks—driven by 5G’s massive scale, distributed Radio Access Network (RAN) architectures, and virtualized infrastructure—makes operational reliability and proactive fault management both a necessity and a challenge. Static rules and threshold-based monitoring techniques, once the backbone of network assurance, are now insufficient as data velocity, volume, and variety continue to gr