Title :
Tight asymptotic bounds for the deletion channel with small deletion probabilities
Author :
Kalai, Adam ; Mitzenmacher, Michael ; Sudan, Madhu
Author_Institution :
Microsoft Res. New England, USA
Abstract :
In this paper, we consider the capacity C of the binary deletion channel for the limiting case where the deletion probability p goes to 0. It is known that for any p <; 1/2, the capacity satisfies C ≥ 1-H(p), where H is the standard binary entropy. We show that this lower bound is essentially tight in the limit, by providing an upper bound C ≤ 1-(1-o(1))H(p), where the o(1) term is understood to be vanishing as p goes to 0. Our proof utilizes a natural counting argument that should prove helpful in analyzing related channels.
Keywords :
channel capacity; entropy; probability; asymptotic bounds; binary deletion channel capacity; deletion probability; standard binary entropy; Capacity planning; Entropy; Upper bound;
Conference_Titel :
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-7890-3
Electronic_ISBN :
978-1-4244-7891-0
DOI :
10.1109/ISIT.2010.5513746