Second- and Third-Order Asymptotics of the Continuous-Time Poisson Channel

03/25/2019
by   Yuta Sakai, et al.
0

The paper derives the optimal second- and third-order coding rates for the continuous-time Poisson channel. This is the first instance of a second-order result for a continuous-time channel. The converse proof hinges on a novel construction of an output distribution consisting of a convex combination of countably infinitely many distributions indexed by a subset of the rationals. While the achievability proof follows the general program to prove the third-order term for non-singular discrete memoryless channels put forth by Polyanskiy, several non-standard techniques---such as new definitions and bounds on the probabilities of typical sets using logarithmic Sobolev inequalities---are employed to handle the continuous nature of the channel.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro