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

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