Title :
Beating the Gilbert-Varshamov bound for online channels
Author :
Haviv, Ishay ; Langberg, Michael
Author_Institution :
Blavatnik Sch. of Comput. Sci., Tel Aviv Univ., Tel Aviv, Israel
fDate :
July 31 2011-Aug. 5 2011
Abstract :
In the online channel coding model, a sender wishes to communicate a message to a receiver by transmitting a codeword x = (x1, ..., xn) ∈ {0, 1}n bit by bit via a channel limited to at most pn corruptions. The channel is online in the sense that at the ith step the channel decides whether to flip the ith bit or not and its decision is based only on the bits transmitted so far, i.e., (x1, ..., xi). This is in contrast to the classical adversarial channel in which the corruption is chosen by a channel that has full knowledge on the sent codeword x. The best known lower bound on the capacity of both the online channel and the classical adversarial channel is the well-known Gilbert-Varshamov bound. In this paper we prove a lower bound on the capacity of the online channel which beats the Gilbert-Varshamov bound for any positive p such that H(2p) <; ½ (where H is the binary entropy function).
Keywords :
channel coding; computational complexity; Gilbert-Varshamov bound; binary entropy function; classical adversarial channel; codeword; online channel coding model; pn corruptions; Channel models; Decoding; Encoding; Hamming distance; Hamming weight; Upper bound;
Conference_Titel :
Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4577-0596-0
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2011.6033767