## Nomenclature \begin{tabular}{l l l} \(D\) & = & Discriminator network \\ \(G\) & = & Generator network \\ \(h\) & = & number of noise samples \\ \(i\) & = & Number of steps for future trajectory prediction \\ \(j\) & = & Number of executed transactions \\ \(N\) & = & Number associated with a block in the chain \\ \(T_{n}\) & = & Time during which the aircraft is as step \(n  
+++ ==WARNING: Truncated because of repetitions==
\) \\ \(\vartheta\) & = & Predicted Trajectory \\ \(z\) & = & Filter for feature extraction \\ \(\omega\) & = & Sample space \\ \(\left(\omega,\mu_{ref}\right)\) & = & Probability space \\ \(P_{G}(\omega)\) & = & Generator strategy \\ \(\theta_{G}\) & = & Generator's weighing parameters \\ \end{tabular}   
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