Title :
Improved upper bounds on the capacity of binary channels with causal adversaries
Author :
Dey, Bikash Kumar ; Jaggi, Sidharth ; Langberg, Michael ; Sarwate, Anand D.
Author_Institution :
IIT Bombay, Mumbai, India
Abstract :
In this work we consider the communication of information in the presence of a causal adversarial jammer. In the setting under study, a sender wishes to communicate a message to a receiver by transmitting a codeword x = (x1, ..., xn) bit-by-bit over a communication channel. The adversarial jammer can view the transmitted bits xi one at a time, and can change up to a p-fraction of them. However, the decisions of the jammer must be made in a causal manner. Namely, for each bit xi the jammer´s decision on whether to corrupt it or not must depend only on xj for j ≤ i. This is in contrast to the “classical” adversarial jammer which may base its decisions on its complete knowledge of x. Binary channels with causal adversarial jammers have seen recent studies in which both lower bounds and upper bounds on their capacity is derived. In this work, we present improved upper bounds on the capacity which hold for both deterministic and stochastic encoding schemes.
Keywords :
channel capacity; encoding; jamming; receivers; binary channel capacity; causal adversarial jammer; codeword transmission; communication channel; deterministic encoding scheme; information communication; jammer decision; p-fraction; receiver; stochastic encoding scheme; transmitted bits; Decoding; Encoding; Jamming; Random variables; Stochastic processes; Upper bound;
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2012.6284300