"We are exploring how AI can be effectively deployed across the RAN and brought closer to the network edge to deliver substantial benefits. By establishing clear interfaces and performance benchmarks, we are paving the path to the networks of the future that will revolutionize how operators enhance performance, optimize operations, and unlock new business opportunities."
"Samsung, via the AI-RAN Alliance, defines AI-for-RAN as the use of AI in the RAN to improve performance, capacity, and energy efficiency. Samsung's tools in this category include Energy Saving Manager (ESM), the RAN Speed Optimizer (RSO), the Load Balancing Manager (LBM), the KPI Anomaly Detector (KAD), and the RAN Anomaly Insight (RAI). The second category, AI-on-RAN, aims to position AI applications closer to the edge by deploying them directly on the RAN. This can enable the development of new services or tap into edge computing to reduce latency and backhaul traffic, the blog post says."
Samsung is pursuing comprehensive AI integration in the radio access network through active leadership in the AI-RAN Alliance. The approach separates three paths: AI-for-RAN to enhance performance, capacity, and energy efficiency using tools such as ESM, RSO, LBM, KAD, and RAI; AI-on-RAN to run AI functions directly on RAN elements at the edge to reduce latency and backhaul; and AI-and-RAN to run concurrent RAN and AI workloads on combined compute-and-communications platforms to increase utilization and create new monetization opportunities. The effort emphasizes clear interfaces and performance benchmarks to guide deployment across 5G and toward 6G.
Read at Telecompetitor
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