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_session-17-deployment-of-machine-learning-models-in-open-ran-networks.webp "Welcome back to our journey through the world of Open RAN and machine learning. In this session, In this session, we'll explore the deployment of machine learning models in Open RAN networks, focusing on practical examples and deployment strategies.<br/><br/>Deployment Example:<br/>Consider a scenario where an Open RAN operator wants to optimize resource allocation by predicting network congestion. They decide to deploy a machine learning model to predict congestion based on historical traffic data and network conditions.<br/><br/>Deployment Steps:<br/><br/>1. Data Collection and Preprocessing:<br/>The operator collects historical traffic data, including throughput, latency, and user traffic patterns.<br/>They preprocess the data to remove outliers and normalize features.<br/><br/>2. Model Development:<br/>Data scientists develop a machine learning model, such as a regression model, to predict congestion based on the collected data.<br/>They use a development environment with libraries like TensorFlow or scikit-learn for model development.<br/><br/>3. Offline Model Training and Validation (Loop 1):<br/>The model is trained on historical data using algorithms like linear regression or decision trees.<br/>Validation is done using a separate dataset to ensure the model's accuracy.<br/><br/>4. Online Model Deployment and Monitoring (Loop 2):<br/>Once validated, the model is deployed in the network's edge servers or cloud infrastructure.<br/>Real-time network data, such as current traffic conditions, is fed into the model for predictions.<br/>Model performance is monitored using metrics like prediction accuracy and latency.<br/><br/>5. Closed-Loop Automation (Loop 3):<br/>The model's predictions are used by the network's orchestration and automation tools to dynamically allocate resources.<br/>For example, if congestion is predicted in a certain area, the network can allocate additional resources or reroute traffic to avoid congestion.<br/><br/>Subscribe to \")
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_ten-interesting-facts-about-monkeys-buckle-in.webp "Ten Interesting Facts about Monkeys<br/>Buckle in - it’s time for our fabulous monkey facts!<br/><br/>1. Monkeys are part of a group of animals called primates. This group includes humans, apes, bush babies and lemurs.<br/><br/>2. What is a primate? Well, a primate has a large brain when you contrast it to the size of its body. Primates are also pretty handy climbers because they have long fingers and toes to help them to grip.<br/><br/>3. All monkeys have a tail, even if it’s very very small. <br/><br/>4. Incredibly, there are over 200 different types of monkeys. They’re split into two groups: Old World monkeys and New World monkeys.<br/><br/>5. So where do monkeys live? You’d find Old World monkeys in Africa and Asia. New World monkeys dwell in the tropical rainforests of Central America and South America. <br/><br/>Iphone<br/>Viral<br/>All mobile phone price<br/>Geo news<br/>Ary<br/>Blogger<br/>WordPress<br/>Article writing<br/>How much does Facebook<br/>How much does YouTube<br/>How much does TikTok<br/>")
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