Transformation Matrix Optimization for Increasing DFTN Technology Effectiveness

Spectral efficiency is the key factor for planning any future communication systems. The Shannon formula demonstrates that spectral efficiency is a hard and challenging problem. The possible advantage for spectral efficiency is overcoming the Nyquist limit. The offered approach called Faster-than-Nyquist for continuous signals has not been applied at commercial communication systems due to complexity of demodulation. Discrete variance of Faster-than-Nyquist technology is very optimistic for digital communication. The question of technology is the optimality of transformation matrix. Random search algorithms may provide clear application for optimization. This work provides some results of DFTN simulation and increasing noise immunity via generic random search algorithm.