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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 \
Session 17: Deployment of Machine Learning Models in Open RAN Networks
⏲ 4:9 👁 75K
Johnny's War Stories
Samurai Vs Riflemen - The Last Samurai
⏲ 5 minutes 5 seconds 👁 444.7K
Elsa Anna Arendelle
SAMURAI DUEL SCENE - SEVEN SAMURAI - AKIRA KUROSAWA- FOOLISH SAMURAI DUELS WITH REAL STEEL SHOGUN
⏲ 1 minute 41 seconds 👁 676.9K
A globetrotting student shared her \
Tourist spots RHINO walking down the street while dining in Nepal
⏲ 0:16 👁 195K
The Cinema Cartography
Ran - DEEP DIVE
⏲ 1 hour 2 minutes 40 seconds 👁 9.4K
Shotgun BomBom
Shogun War - Hojo Clan's Last Stand
⏲ 4 minutes 54 seconds 👁 511.1K
Don't forget to follow.<br/><br/>Can you judge a person by how they treat animals? <br/><br/>El didn’t have much luck in life. And though she was homeless, she still kept a kind heart. One day, a sharply dressed woman came up to her and threw a packet of dog food to her feet. Then, she opened her car, took out a dog, sat it near El, and wished her good luck. While El was trying to comfort the crying pup, the lady just drove off. <br/><br/>El didn’t know what to do. But suddenly, the dog got up and ran somewhere. El followed him. Turns out, the pooch led her right to his owner. El couldn’t even imagine that this smart canine would be her cupid.
Dog Found Me A Millionaire
⏲ 11:0 👁 175K
MUBI
RAN | Official Trailer | Now Showing on MUBI
⏲ 47 seconds 👁 14.2K
The New York Times
'Ran' | Critics' Picks | The New York Times
⏲ 3 minutes 35 seconds 👁 58.7K
How far could you run in 24 hours? Elite Runner Joe Baker ran 150 miles and is the current record holder at Endure24 which returns to Bramham Park this month.
Joe Baker Elite Runner: Running for 24 Hours
⏲ 2:0 👁 45K
Bushido Blues
Ran (1985): “In A Mad World, Only The Mad Are Sane”
⏲ 29 minutes 20 seconds 👁 9.3K
Elsa Anna Arendelle
RAN (\"CHAOS\") - THE TREACHERY OF LADY KAEDE THE FOX-DEVIL - AKIRA KUROSAWA EPIC FILM
⏲ 6 minutes 👁 77K
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