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⏲ 3:16 👁 10K
lxdice
⏲ 23 minutes 50 seconds 👁 10.6K
Simplicitysimlife
⏲ 8 minutes 18 seconds 👁 1.2K
Hello and welcome to Session 16 of our Open RAN series! Today, we're diving into the fascinating world of machine learning and its impact on Open RAN networks. We'll be focusing on how machine learning can boost Open RAN performance, specifically in predicting throughput based on MCS coding schemes. This is a crucial aspect for optimizing network performance and resource allocation in Open RAN environments.<br/><br/>1. Introduction to Machine Learning in Open RAN:<br/>Machine learning plays a pivotal role in enhancing Open RAN networks by enabling predictive capabilities, particularly in throughput optimization. By leveraging machine learning models, Open RAN can predict throughput based on the Modulation and Coding Scheme (MCS) coding scheme. Throughput prediction is critical for optimizing network performance and efficiently allocating resources, ensuring a seamless user experience.<br/><br/>2. Developing Machine Learning Models for Throughput Prediction:<br/>Developing a machine learning model for throughput prediction in Open RAN requires several key considerations. Firstly, the model needs to be trained on a dataset that includes throughput data and corresponding MCS values. The model should be designed to handle the complex relationships between these variables and predict throughput accurately. Mathematical functions and algorithms such as regression and neural networks are commonly used for this purpose, as they can effectively capture the underlying patterns in the data.<br/><br/>3. Deployment of Machine Learning Models in Open RAN:<br/>The deployment of machine learning models in Open RAN involves several steps. Once the model is trained and validated, it is deployed to the network where it operates in real-time. The model continuously monitors network conditions and predicts throughput based on incoming data. This information is then used to dynamically allocate network resources, optimizing performance and ensuring efficient operation.<br/><br/>4. Training Data Acquisition Process:<br/>Acquiring training data for the machine learning model involves collecting throughput data and corresponding MCS values from the network. This data is then cleaned and formatted to remove any inconsistencies or errors. The cleaned data is used to train the model, ensuring that it can accurately predict throughput in various network conditions. The training data acquisition process is crucial as it directly impacts the accuracy and reliability of the machine learning model.<br/><br/>Subscribe to \
⏲ 5:55 👁 10K
RosannaTxt
⏲ 7 minutes 3 seconds 👁 26K
solita sims
⏲ 11 minutes 34 seconds 👁 4.3K
Oscar Pistorius, the once-celebrated athlete known as the \
⏲ 1:59 👁 10K
The Bonnet Simmer
⏲ 3 hours 23 minutes 7 seconds 👁 2.4K
Savannah Sapphire Sims
⏲ 15 minutes 58 seconds 👁 7.4K
Don't miss out on this exciting announcement as Cyndi Lauper reveals her Farewell Tour! Join us as we celebrate the iconic singer's legendary career with one final tour. Stay tuned for more details and get ready to sing along to all of her greatest hits one last time. Subscribe now to be the first to know about ticket sales and tour dates!<br/><br/>#cyndilauper #pop #singer #celebrity #farewell #cyndi <br/><br/>1. Cyndi Lauper farewell tour<br/>2. Cyndi Lauper final concert dates<br/>3. Cyndi Lauper retirement tour<br/>4. Cyndi Lauper last performance schedule<br/>5. Cyndi Lauper goodbye concert series<br/>6. Cyndi Lauper farewell tour tickets<br/><br/>Stay informed with daily news across the USA, UK & Canada. News Today In: your fast track to understanding what matters.<br/>.<br/>Follow us on X: https://twitter.com/newstodayin365<br/>Follow us on Tiktok: https://www.tiktok.com/@newstodayin <br/>.<br/>Subscribe for daily updates & let us know what stories you'd like us to cover!<br/>Hit that notification bell so you never miss a breaking story!<br/>Join the conversation in the comments & share your thoughts on the news!<br/>.<br/>news today in.,latest news,Cyndi Lauper,Farewell Tour,Music Legend,Pop Icon,Concert Announcement,news today in, today news, latest news, trending news
⏲ 1:51 👁 10K
Emma Nicole
⏲ 26 seconds 👁 231.5K
fantayzia
⏲ 20 minutes 48 seconds 👁 60.5K
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