Cooperative Channel Capacity Learning

In this paper, the problem of determining capacity a communication channel is formulated as cooperative game, between generator and discriminator, that solved via deep learning techniques. The task to produce input samples for which discriminator ideally distinguishes conditional from unconditional output samples. approach, referred (CORTICAL), provides both optimal signal distribution estimate. Numerical results demonstrate proposed framework learns capacity-achieving under challenging non-Shannon settings.