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Proactive caching in Base station using Reinforcement Learning

$30-250 USD

Closed
Posted over 1 year ago

$30-250 USD

Paid on delivery
The project is to build a reinforcement learning model for proactive caching in the base station for 5G networks. We need to build a simulator in ns3 with base stations and user equipment based on 5G networks and build the memory cache in the base station and show the hit ratio for the base station and connect that to a reinforcement learning model in order to predict the incoming requests based on the current request.
Project ID: 34996014

About the project

3 proposals
Remote project
Active 1 yr ago

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3 freelancers are bidding on average $140 USD for this job
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I've carefully checked your project and really interested in this job. Can you send me a message? Then we can discuss the details and build a long term & healthy business relationship with each other.i have read all Job description in detail. Please consider me for this task and check in my profile all Relevant Skills and Experience. Quality results and satisfied customers are my main priorities. King Regard
$140 USD in 7 days
4.9 (5 reviews)
4.5
4.5
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Hi, I am an AI engineer with experience in building reinforcement learning models. I would be interested in working on the project to build a reinforcement learning model for proactive caching in the base station for 5G networks. I have experience in ns3 and have worked on building simulators in ns3. I am confident that I can build the memory cache in the base station and show the hit ratio for the base station. I would also be able to connect the reinforcement learning model to the ns3 simulator in order to predict the incoming requests based on the current request. Please let me know if you are interested in working with me on this project. Thank you, Younes I.
$141 USD in 7 days
5.0 (3 reviews)
3.0
3.0

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Dome, Ghana
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Member since May 20, 2022

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