Michel chamat dimitrios bersi kodra

5.2. Parameters
 ........................................................................................ 36
 
5.2.1. Current MCS Accuracy
 ............................................................. 36
 
5.2.2. UE Scenarios
 ............................................................................. 36
 
6. Implementation
 
38
 
6.1. Programming Language
 ................................................................... 38
 
6.2. Trace Logs
 ........................................................................................ 38
 
6.3. Data Collection
 ................................................................................. 39
 
6.4. Assumption
 ....................................................................................... 40
 
6.5. ML Algorithm
 .................................................................................. 41
 
7. Results
 
44
 
7.1. Accuracy
 ........................................................................................... 44
 
7.2. Application of the Assumptions
 ....................................................... 44
 
7.3. Relation between MCS and SINR
 .................................................... 44
 
7.4. UE Scenario Prediction
 .................................................................... 46
 
7.5. MCS Prediction
 ................................................................................ 47
 
7.6. Neural Network Prediction
 ............................................................... 48
 
8. Conclusion and Future Work
 
50
 
8.1. Conclusion
 ........................................................................................ 50
 
8.2. Future Work
 ..................................................................................... 50
 

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