Title :
A Markov Decision Approach to Feedback Channel Capacity
Author :
Tatikonda, Sekhar
Author_Institution :
Department of Electrical Engineering, Yale University, New Haven, CT, 06520, USA sekhar.tatikonda@yale.edu
Abstract :
We introduce a general framework for treating channels with memory and feedback. First, we generalize Massey’s concept of directed information [7] and use it to characterize the feedback capacity of general channels. Second, we present coding results for Markov channels. Third, a dynamic programming framework for computing the capacity of Markov channels with output feedback is presented.
Keywords :
Channel capacity; Channel coding; Codes; Decoding; Dynamic programming; Kernel; Noise reduction; Output feedback; Stochastic processes; Wireless communication;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1582656