Traffic Profiles in dsTest from 3gpp interfaces Watch Video

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⏲ Duration: 4 min 88 sec
✓ Published: 02-Jan-2014
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Gives a brief description of how to create a Traffic Profile with Developing Solutions' dsTest.nndsTest offers server emulation and client simulation capabilities for comprehensive testing of 3GPP 3G and 4G EPC core network interface functionality and performance. Select the interfaces required to accomplish your testing goals–surround a network element with client simulators that simulate client activity, provision a server emulator with the interfaces necessary to support end-to-end testing,

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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 \
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