Title :
Channels that die
Author :
Varshney, Lav R. ; Mitter, Sanjoy K. ; Goyal, Vivek K.
Author_Institution :
Lab. for Inf. & Decision Syst., Massachusetts Inst. of Technol., Cambridge, MA, USA
fDate :
Sept. 30 2009-Oct. 2 2009
Abstract :
Given the possibility of communication systems failing catastrophically, we investigate limits to communicating over channels that fail at random times. These channels are finite-state semi-Markov channels. We show that communication with arbitrarily small probability of error is not possible. Making use of results in finite block-length channel coding, we determine sequences of block-lengths that optimize transmission volume communicated at fixed maximum message error probabilities. A dynamic programming formulation is used to show that channel state feedback does not improve performance.
Keywords :
Markov processes; channel coding; dynamic programming; error statistics; sequences; state feedback; blocklength sequences; catastrophe; dynamic programming; finite blocklength channel coding; finite state semi-Markov channel; message error probability; state feedback;
Conference_Titel :
Communication, Control, and Computing, 2009. Allerton 2009. 47th Annual Allerton Conference on
Conference_Location :
Monticello, IL
Print_ISBN :
978-1-4244-5870-7
DOI :
10.1109/ALLERTON.2009.5394908