Help in Python Coding Deep Learning based approach for Dynamic Spectrum Sensing in 5G network ?

16 September 2023 1 7K Report

I am trying to implement Deep Learning based approach for Dynamic Spectrum Sensing in 5G network. Facing some issue in "How to get the value of Probability of detection" and "Probability of False alarm". Kindly help me. If some one can share any Python code I will be very grateful. I am using RadionML2016.10b dataset.

Hassan Nazeer Chaudhry

To calculate PD, you need to determine how well your model detects the presence of a signal when it is actually present. PD is calculated as: PD = True Positives / (True Positives + False Negatives)
To calculate PFA, you need to determine how often your model incorrectly detects a signal when the spectrum is actually idle. PFA is calculated as: PFA = False Positives / (False Positives + True Negatives)

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