Session 13: Leveraging AI and Machine Learning in Open RAN | Revolutionizing Networks from celine simulation ecn 2019 Watch Video

⏲ Duration: 4:15
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✓ Published: 02-Apr-2024

Description:
Welcome to Session 13 of our Open RAN series! In this session, we'll explore the integration of Artificial Intelligence (AI) and Machine Learning (ML) in Open RAN. These technologies play a crucial role in designing intelligent systems that enhance the overall ecosystem of Open RAN.<br/><br/>Artificial Intelligence and Machine Learning<br/>Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. Machine Learning (ML) is a subset of AI that allows machines to learn from data without being explicitly programmed. These technologies can revolutionize Open RAN by enabling intelligent decision-making, predictive maintenance, and network optimization.<br/><br/><br/>Application of Machine Learning in Open RAN<br/>Machine Learning algorithms use mathematical functions to analyze data and make predictions or decisions based on that analysis. In Open RAN, ML can be applied to various areas such as network optimization, predictive maintenance, and intelligent resource allocation. ML algorithms can analyze network traffic patterns, predict equipment failures, and optimize network performance, leading to improved efficiency and reliability.<br/><br/><br/>Join us as we explore the potential of AI and Machine Learning in Open RAN. Don't forget to subscribe to the \