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A Single-Letter Upper Bound on the Feedback Capacity of Unifilar Finite-State Channels
[article]
2016
arXiv
pre-print
An upper bound on the feedback capacity of unifilar finite-state channels (FSCs) is derived. ...
This upper bound indicates that a single-letter expression might exist for the capacity of finite-state channels with or without feedback based on a construction of auxiliary random variable with specified ...
CONCLUSIONS An upper bound on the feedback capacity of unifilar state channels was derived. ...
arXiv:1604.01878v1
fatcat:gj6cau7vlzd5zedamgcthxs6aa
Capacity of Finite State Channels with Feedback: Algorithmic and Optimization Theoretic Properties
[article]
2022
arXiv
pre-print
The capacity of finite state channels (FSCs) with feedback has been shown to be a limit of a sequence of multi-letter expressions. ...
Furthermore, it is shown that the feedback capacity cannot be characterized as the maximization of a finite-letter formula of entropic quantities. ...
For |S| = 1, the channel is a DMC and the capacity is given by Shannon's single-letter formula. The capacity of a DMC is Turing computable. ...
arXiv:2201.11639v2
fatcat:wjhawnjkcjh5zg7fyavsp4t53q
Computing the Feedback Capacity of Finite State Channels using Reinforcement Learning
[article]
2020
arXiv
pre-print
Hence, RL can be used to estimate numerically the feedback capacity of unifilar finite state channels (FSCs) with large alphabet size. ...
These insights can be converted into analytic, single-letter capacity expressions by solving corresponding lower and upper bounds. ...
Specifically, we use the graphical structure in Fig. 5 to compute a tight upper bound, and analyze the rate of the proposed coding scheme. 1) Bounds on the feedback capacity: The Q-graph method, introduced ...
arXiv:2001.09685v1
fatcat:m2uhhgty2bbnbjtkfuwvc2s44e
Reinforcement Learning Evaluation and Solution for the Feedback Capacity of the Ising Channel with Large Alphabet
[article]
2020
arXiv
pre-print
We propose a new method to compute the feedback capacity of unifilar finite state channels (FSCs) with memory using reinforcement learning (RL). ...
The outcome of the RL algorithm is a numerical lower bound on the feedback capacity, which is used to reveal the structure of the optimal solution. ...
Feedback Capacity of Unifilar Finite State Channels The feedback capacity of a unifilar FSC is presented in the following theorem. ...
arXiv:2008.07983v1
fatcat:6wk7fadeovcnvi34v3xza3m4sa
Computable Upper Bounds on the Capacity of Finite-State Channels
2021
Zenodo
IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 67, NO. 9, SEPTEMBER 2021 ...
ACKNOWLEDGMENT The authors would like to thank the Associate Editor and the anonymous reviewers for their valuable and constructive comments, which helped to improve this paper. ...
Nevertheless, in this section we present single-letter upper bounds on the capacity of several channels that were derived by solving a DP problem with a continuous DP state space while using the insights ...
doi:10.5281/zenodo.5335953
fatcat:4jmbqnxmwbfg5ibce5bs4jkvey
Computable Upper Bounds on the Capacity of Finite-State Channels
[article]
2021
arXiv
pre-print
We consider the use of the well-known dual capacity bounding technique for deriving upper bounds on the capacity of indecomposable finite-state channels (FSCs) with finite input and output alphabets. ...
In this technique, capacity upper bounds are obtained by choosing suitable test distributions on the sequence of channel outputs. ...
ACKNOWLEDGMENT The authors would like to thank the Associate Editor and the anonymous reviewers for their valuable and constructive comments, which helped to improve this paper. ...
arXiv:1911.02113v3
fatcat:hb274we3qrhghpkqzivarlpfli
A sequential transmission scheme for unifilar finite-state channels with feedback based on posterior matching
2012
2012 IEEE International Symposium on Information Theory Proceedings
The capacity of unifilar finite-state channels with feedback has been recently derived in the form of a single-letter expression and it has been evaluated analytically for a number of channels of interest ...
, such as the trapdoor channel and the Ising channel with feedback. ...
One of the first results on the capacity of channels with memory and feedback was by Viswanathan [2] , who studied the capacity of a finite-state channel (FSC) with receiver channel-state information ...
doi:10.1109/isit.2012.6284059
dblp:conf/isit/Anastasopoulos12
fatcat:gqyfwers2vg4dngcy7iike7dgq
Variable-length codes for channels with memory and feedback: error-exponent lower bounds
[article]
2017
arXiv
pre-print
In unifilar channels the channel state evolves in a deterministic fashion based on the previous state, input, and output, and is known to the transmitter but is unknown to the receiver. ...
Simulation results confirm that the bounds are tight compared to the upper bounds derived in a companion paper. ...
For channels with ergodic behavior, the capacity has a single-letter expression C = sup P X|SB I(X t , S t ; Y t |B t−1 ), (3) where B t−1 ∈ P(S) is the posterior belief on the current state S t given ...
arXiv:1701.06681v5
fatcat:ry2vsoulonf6tfo4phqgp46gbu
Upper Bounds on the Capacities of Noncontrollable Finite-State Channels With/Without Feedback
2012
IEEE Transactions on Information Theory
With this technique, we derive a series of upper bounds on the capacities of noncontrollable FSCs with/without feedback. ...
Since single-letter formulae for the channel capacities are rarely available for general noncontrollable FSCs, computable bounds are usually utilized to numerically bound the capacities. ...
ACKNOWLEDGMENT The authors would like to thank Dr. S. Yang for his helpful advice at the beginning of this work, and Prof. X. Guo for providing helpful references on Markov decision processes. ...
doi:10.1109/tit.2012.2201341
fatcat:qhlhfz3awbbkne35jeuch5gkfi
The Feedback Capacity of Noisy Output is the STate (NOST) Channels
[article]
2022
arXiv
pre-print
We consider finite-state channels (FSCs) where the channel state is stochastically dependent on the previous channel output. We refer to these as Noisy Output is the STate (NOST) channels. ...
We derive the feedback capacity of NOST channels in two scenarios: with and without causal state information (CSI) available at the encoder. ...
For a sub-family of unifilar FSCs where the channel state is a deterministic function of the channel output, a single-letter feedback capacity expression was derived and formulated as a DP optimization ...
arXiv:2107.07164v2
fatcat:2yoxjdwaybabbpewyre7euvoge
On Separation in the Presence of Feedback
2007
2007 IEEE Information Theory Workshop
We present a framework for characterizing the fundamental limit of communication with feedback for various point-to-point and multi-terminal finite-state channels. ...
For example, we will characterize a large class of finite-state multiple access channels for which separation holds with, without, or with partial feedback. ...
ACKNOWLEDGMENT The authors would like to thank Amos Lapidoth and Andrea Goldsmith for helpful discussions. ...
doi:10.1109/itw.2007.4313085
fatcat:5ysugusw45e5dbjlatokauykha
Hidden Markov processes
2002
IEEE Transactions on Information Theory
In recent years, the work of Baum and Petrie on finite-state finite-alphabet HMPs was expanded to HMPs with finite as well as continuous state spaces and a general alphabet. ...
An HMP is a discrete-time finite-state homogeneous Markov chain observed through a discrete-time memoryless invariant channel. ...
They also thank Randal Douc, Catherine Matias, Éric Moulines, and Tobias Rydén for making available preprints of their most recent work. ...
doi:10.1109/tit.2002.1003838
fatcat:6r7stou5ijgi7kjs6tifsyghfm
The Feedback Capacity of the (1,∞)-RLL Input-Constrained Erasure Channel
[article]
2015
arXiv
pre-print
The derived capacity expression also serves as the only non-trivial upper bound known on the capacity of the input-constrained erasure channel without feedback, a problem that is still open. ...
Moreover, we prove that a-priori knowledge of the erasure at the encoder does not increase the feedback capacity. ...
ACKNOWLEDGMENT The authors would like to thank Yonglong Li and Guangyue Han for providing us the data for the lower bound in plotted in Fig. 3 . ...
arXiv:1503.03359v1
fatcat:ozlag5idbjeytpatruoil3jy7u
The method of types [information theory]
1998
IEEE Transactions on Information Theory
The method of types is one of the key technical tools in Shannon Theory, and this tool is valuable also in other fields. ...
These range from hypothesis testing and large deviations theory through error exponents for discrete memoryless channels and capacity of arbitrarily varying channels to multiuser problems. ...
Finite-State Types A sequence of -valued RV's is called a unifilar finite-state source if there exists a (finite) set of "states," an initial state , and a mapping that specifies the next state as a function ...
doi:10.1109/18.720546
fatcat:rmitj3v4lfbdjjl63aibbqxcce
Neural Estimation and Optimization of Directed Information over Continuous Spaces
[article]
2022
arXiv
pre-print
Applications for channel capacity estimation of continuous channels with memory are explored, and empirical results demonstrating the scalability and accuracy of our method are provided. ...
When the channel is memoryless, we investigate the mapping learned by the optimized input generator. ...
Tools from dynamic programming were used in [34, 35] to estimate the feedback capacities of a class of binary finite state channels (FSCs). ...
arXiv:2203.14743v1
fatcat:irj45fufdjdhxnarqzkoluxz3a
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