Title :
Zero-Error Feedback Capacity of Channels With State Information Via Dynamic Programming
Author :
Zhao, Lei ; Permuter, Haim H.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
fDate :
6/1/2010 12:00:00 AM
Abstract :
In this paper, we study the zero-error capacity for finite state channels with feedback when channel state information is known to both the transmitter and the receiver. We prove that the zero-error capacity in this case can be obtained through the solution of a dynamic programming problem. Each iteration of the dynamic programming provides lower and upper bounds on the zero-error capacity, and in the limit, the lower bound coincides with the zero-error feedback capacity. Furthermore, a sufficient condition for solving the dynamic programming problem is provided through a fixed-point equation. Analytical solutions for several examples are provided.
Keywords :
dynamic programming; telecommunication channels; channel state information; dynamic programming; finite state channels; fixed-point equation; lower bound; receiver; transmitter; upper bound; zero-error feedback capacity; Capacity planning; Channel capacity; Channel state information; Chemicals; Dynamic programming; Equations; State feedback; Sufficient conditions; Transmitters; Upper bound; Bellman equations; competitive Markov decision processes (MDPs); dynamic programming (DP); feedback capacity; fixed-point equation; infinite-horizon average reward; stochastic games; zero-error capacity;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2010.2046211