Capacity of Finite-State Channels with Delayed Feedback

03/31/2023
by   Bashar Huleihel, et al.
0

In this paper, we investigate the capacity of finite-state channels (FSCs) in presence of delayed feedback. We show that the capacity of a FSC with delayed feedback can be computed as that of a new FSC with instantaneous feedback and an extended state. Consequently, graph-based methods to obtain computable upper and lower bounds on the delayed feedback capacity of unifilar FSCs are proposed. Based on these methods, we establish that the capacity of the trapdoor channel with delayed feedback of two time instances is given by log_2(3/2). In addition, we derive an analytical upper bound on the delayed feedback capacity of the binary symmetric channel with a no consecutive ones input constraint. This bound also serves as a novel upper bound on its non-feedback capacity, which outperforms all previously known bounds. Lastly, we demonstrate that feedback does improve the capacity of the dicode erasure channel.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/18/2019

Graph-Based Encoders and their Performance for Finite-State Channels with Feedback

The capacity of unifilar finite-state channels in the presence of feedba...
research
01/10/2020

Computable Lower Bounds for Capacities of Input-Driven Finite-State Channels

This paper studies the capacities of input-driven finite-state channels,...
research
01/12/2018

Youla Coding and Computation of Gaussian Feedback Capacity

In this paper, we propose an approach to numerically compute the feedbac...
research
08/18/2020

Reinforcement Learning Evaluation and Solution for the Feedback Capacity of the Ising Channel with Large Alphabet

We propose a new method to compute the feedback capacity of unifilar fin...
research
12/25/2022

Finite-State Channels with Feedback and State Known at the Encoder

We consider finite state channels (FSCs) with feedback and state informa...
research
06/16/2018

Sharp Analytical Capacity Upper Bounds for Sticky and Related Channels

We study natural examples of binary channels with synchronization errors...
research
01/27/2020

Computing the Feedback Capacity of Finite State Channels using Reinforcement Learning

In this paper, we propose a novel method to compute the feedback capacit...

Please sign up or login with your details

Forgot password? Click here to reset