On Optimal Channel Capacity Theorems via Verma Information Measure with Two-sided Input in Noisy State
Rohit Kumar Verma *
Department of Mathematics, Bharti Vishwavidyalaya, Durg, C.G., India.
*Author to whom correspondence should be addressed.
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.
Keywords: Optimal channel capacity, Verma information measures, Gaussian channel etc