AI's value in RAN (Radio Access Network) is significant, as highlighted by Melike Erol-Kantarci's report. It emphasizes AI's role in enhancing RAN's distribution, latency, reliability, sustainability, and cost-efficiency. This aligns with industry movements towards AI-native air interface test methodologies and AI-defined 5G networks, promising improved network performance and innovation.
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Delighted to share our newly released report on "AI value in RAN". This paper will serve as a reference point for CSPs embarking on AI and automation journey. Rest assured, Ericsson is building the capabilities such that AI can be incorporated into RAN, including broad distributed sites, low latency, high reliability requirements of end-users as well as sustainability, and cost-efficiency needs of CSPs.