Title :
On the deletion channel with small deletion probability
Author :
Kanoria, Yashodhan ; Montanari, Andrea
Author_Institution :
Depts. of Electr. Eng., Stanford Univ., Stanford, CA, USA
Abstract :
The deletion channel is the simplest point-to-point communication channel that models lack of synchronization. Despite significant effort, little is known about its capacity, and even less about optimal coding schemes. In this paper we initiate a new systematic approach to this problem, by demonstrating that capacity can be computed in a series expansion for small deletion probability.We compute two leading terms of this expansion, and show that capacity is achieved, up to this order, by i.i.d. uniform random distribution of the input. We think that this strategy can be useful in a number of capacity calculations.
Keywords :
channel capacity; channel coding; probability; synchronisation; telecommunication channels; channel capacity; channel coding; deletion channel; optimal coding schemes; point-to-point communication channel; small deletion probability; synchronization; systematic approach; uniform random distribution; Capacity planning; Codes; Communication channels; Concrete; Distributed computing; Information theory; Mutual information; Probability; Statistics; 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.2010.5513745