DocumentCode
1365582
Title
Zero-Rate Feedback Can Achieve the Empirical Capacity
Author
Eswaran, Krishnan ; Sarwate, Anand D. ; Sahai, Anant ; Gastpar, Michael C.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, CA, USA
Volume
56
Issue
1
fYear
2010
Firstpage
25
Lastpage
39
Abstract
The utility of limited feedback for coding over an individual sequence of discrete memoryless channels is investigated. This study complements recent results showing how limited or noisy feedback can boost the reliability of communication. A strategy with fixed input distribution P is given that asymptotically achieves rates arbitrarily close to the mutual information induced by P and the state-averaged channel. When the capacity-achieving input distribution is the same over all channel states, this achieves rates at least as large as the capacity of the state-averaged channel, sometimes called the empirical capacity.
Keywords
automatic repeat request; channel coding; telecommunication channels; arbitrarily varying channels; automatic repeat request; capacity-achieving input distribution; communication reliability; discrete memoryless channels; empirical capacity; individual sequences; noisy feedback; rateless codes; state-averaged channel; zero-rate feedback; Automatic repeat request; Communication systems; Design engineering; Feedback communications; Information theory; Memoryless systems; Mutual information; Robustness; Time varying systems; Wireless communication; Arbitrarily varying channels; common randomness; feedback communication; hybrid ARQ; individual sequences; rateless codes; universal communication;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2009.2034779
Filename
5361486
Link To Document