Title :
On the separation of lossy source-network coding and channel coding in wireline networks
Author :
Jalali, Shirin ; Effros, Michelle
Author_Institution :
Center for Math. of Inf., California Inst. of Technol., Pasadena, CA, USA
Abstract :
This paper proves the separation between source-network coding and channel coding in networks of noisy, discrete, memoryless channels. We show that the set of achievable distortion matrices in delivering a family of dependent sources across such a network equals the set of achievable distortion matrices for delivering the same sources across a distinct network which is built by replacing each channel by a noiseless, point-to-point bit-pipe of the corresponding capacity. Thus a code that applies source-network coding across links that are made almost lossless through the application of independent channel coding across each link asymptotically achieves the optimal performance across the network as a whole.
Keywords :
channel coding; matrix algebra; source coding; channel coding; distortion matrices; lossy source-network coding; noisy discrete memoryless channels; wireline networks; Channel coding; Mathematics; Memoryless systems; Network coding; Paper technology; Performance loss; Random variables; Source coding;
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.2010.5513477