Adding intelligence to the radio access network is the focal point of AI and ML adoption by telecom operators and their vendors. And given the increases in traffic and complexity brought about by the advent of 5G, alongside the move from proprietary to virtualized/cloud-native network functions, this makes perfect sense.
According to Dell’Oro Group Vice President Stefan Pongratz, “The increased complexity with the various 5G technologies in combination with the shift towards Open RAN will potentially introduce new challenges to CSP operational teams tasked with managing end-to-end performance. Artificial intelligence will play an increasingly important role managing this complexity deliver the quality of experience (QoE) that consumers and enterprises demand from mobile broadband applications and latency-sensitive services.”
