Method for entropy-weighted updating of weighting coefficients in a genetic algorithm for optimization of complex signal ensembles in cognitive telecommunication systems

Abstract

In cognitive telecommunication systems, the efficiency of information transmission largely depends on the correlation, energy, and structural properties of complex signal ensembles. The formation of such ensembles requires multi-objective optimization methods capable of minimizing mutual signal correlation, reducing side-lobe levels, and maintaining structural balance under dynamic interference conditions.