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Senior Member
Reputation: 830
Share ideas related to machine learning use cases in telecom
In this thread you can all share your ideas for different use cases of machine learning using python in telecom.
probably good to get ideas which can be convert later to proper model.
Cheers!!!
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2024-02-08 09:27 AM
# ADS
Circuit advertisement
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Senior Member
Reputation: 830
Re: Share ideas related to machine learning use cases in telecom
1. Anomaly detection based on performance 4g KPIs.
2. Identify and score all cells in network based on capacity, Quality, revenue(3 layers). This way we can choose sites for capacity expansion.
3. Coverage Hole Prediction(Based on that can plan new sites)
4. Dynamic Load balancing in network
Last edited by longtermevolution; 2024-04-15 at 04:22 AM
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Junior Member
Reputation: 11
1 out of 1 members found this post helpful.
Re: Share ideas related to machine learning use cases in telecom
It's a good idea for the AI to propose what radio parameter to change based on the KPI performance. Like for example in case of dropped calls, the AI can propose the different points to check first and then propose what parameters needed to change to solve the problem.
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Member
Reputation: 52
1 out of 1 members found this post helpful.
Re: Share ideas related to machine learning use cases in telecom
using simple machine learning you can do linear regression using as inputs PRB_utilization , RRC users, and estimate or predict user_throughput. Ive been testing and is ok
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