On Optimal Channel Capacity Theorems via Verma Information Measure with Two-sided Input in Noisy State

Abstract

The capacity for which the value  or  is its lower bound is referred to as the optimal channel capacity. Through this communication, we attempt to study the additive Gaussian interference  that arises from the Gaussian channel's two-sided state information, which is non-causally known at both the transmitter and receiver and reliant on the channel's noise  and input . Verma entropy    maximized using normal distribution is noted by the author. He contrasts Verma's channel capacity with Shannon's channel capacity during this investigation, which has implications for communication technology.