Slicing prediction and resource scaling (optimisation) in 5G
Budget: €6 – €12 EUR
I'm looking for a skilled freelancer to work on a project that includes Slice Load Prediction, QoS Optimization, and NWDAF implementation in a 5G network.
- The project involves developing a system that can predict the load on different network slices in real-time.
The main idea behind the work is to implement a prediction mechanism that will reflect the functionality of NWDAF and will be able to predict within a 5G system the slice load (resource scaling up and down) based on the traffic, the number of registered UEs, the number of PDU sessions and CPU, memory and disk level loads of each slice instance. The 5G system to produce the data should be implemented with Open5GS, the RAN and the UEs part with UERANSIM and the NWDAF component will use different algorithms (comparison between two-relevant e.g. LSTM and RNN or other) to compare performance.-
Ideal candidates for this project should have:
- Strong experience in 5G networks, slicing concept and open source software Open5gs-UERANSIM, NWDAF characteristics
Linux programming skills
- Proven track record in historical data analysis and predictive model development
- Proficiency in implementing machine learning algorithms (python)
- The project involves developing a system that can predict the load on different network slices in real-time.
The main idea behind the work is to implement a prediction mechanism that will reflect the functionality of NWDAF and will be able to predict within a 5G system the slice load (resource scaling up and down) based on the traffic, the number of registered UEs, the number of PDU sessions and CPU, memory and disk level loads of each slice instance. The 5G system to produce the data should be implemented with Open5GS, the RAN and the UEs part with UERANSIM and the NWDAF component will use different algorithms (comparison between two-relevant e.g. LSTM and RNN or other) to compare performance.-
Ideal candidates for this project should have:
- Strong experience in 5G networks, slicing concept and open source software Open5gs-UERANSIM, NWDAF characteristics
Linux programming skills
- Proven track record in historical data analysis and predictive model development
- Proficiency in implementing machine learning algorithms (python)