Title :
Joint Source–Channel Coding for Transmitting Correlated Sources Over Broadcast Networks
Author :
Coleman, Todd P. ; Martinian, Emin ; Ordentlich, Erik
Author_Institution :
Coordinated Sci. Lab., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Abstract :
We consider a set of S independent encoders that must transmit a set of correlated sources through a network of noisy, independent, broadcast channels to T receivers, with no interference at the receivers. For the general problem of sending correlated sources through broadcast networks, it is known that the source-channel separation theorem breaks down and the achievable rate region as well as the proper method of coding are unknown. For our scenario, however, we establish the optimal rate region using a form of joint source-channel coding. When the optimal channel input distribution from transmitter i to receiver j is independent of j, our result has a max-flow/min-cut interpretation. Specifically, in this case, our result implies that if it is possible to send the sources to each receiver separately while ignoring the others, then it is possible to send to all receivers simultaneously.
Keywords :
broadcast channels; combined source-channel coding; correlation theory; broadcast channel; correlated source transmission; encoder; joint source-channel coding; max-flow-min-cut interpretation; receiver; source-channel separation theorem; Aggregates; Broadcasting; Communication systems; Decoding; Information theory; Laboratories; Memoryless systems; Multiple access interference; Network coding; Transmitters; Joint source–channel coding; network information theory; separation theorem;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2009.2023722