Can someone guide me in mathematically modeling the system based on the available output data of that system? Specifically, I would like guidance on modeling a system when I have the measured latency data for both a public and private 5G network. I have the latency data recorded over time, and I have created an equation using polynomial fitting and machine learning algorithms. However, I am facing an issue, as these algorithms only provide a relationship between time and latency ( the equation has one variable (time)). The latency, on the other hand, is influenced by various factors such as round-trip time (RTT), the proximity of the base station to the user, and the type of communication means (wireless or wired), etc. Any assistance with this matter would be greatly appreciated.
You may use Partial Differential Equations for modelling the data. It'll allow you to calculate the outcome with respect to time and other variables as well.
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