Methods of forming ensembles of complex signals based on time-frequency parameter optimization for cognitive wireless telecommunications

Abstract

The continuous growth of wireless data traffic and the widespread adoption of cognitive networks create new requirements for the reliability and throughput of telecommunication infrastructures. In such conditions, the central scientific problem is the formation of ensembles of complex signals with improved correlation and spectral properties, ensuring both low interference levels and sufficient ensemble volume for multiuser access. Traditional methods of ensemble generation, which rely mainly on time interval permutations or simple linear filtering, face significant limitations: they are sensitive to stochastic disturbances, fail to adapt to nonlinearity in real propagation channels, and often stagnate in local extrema of the optimization landscape.