DocumentCode :
3118611
Title :
On network coding capacity under on-off scheduling
Author :
Bakshi, Mayank ; Effros, Michelle
Author_Institution :
Inst. of Network Coding, Chinese Univ. of Hong Kong, Hong Kong, China
fYear :
2012
fDate :
1-6 July 2012
Firstpage :
1667
Lastpage :
1671
Abstract :
We investigate the tradeoffs between rate (bits per channel use) and throughput (bits per time) in network coding over networks of independent noisy or noiseless channels under on-off scheduling. While some networks exhibit an inherent tradeoff between rate and throughput at finite blocklengths, our main result shows that rate and throughput can be simultaneously maximized in the limit of large blocklengths.
Keywords :
channel capacity; network coding; scheduling; bits per channel use; bits per time; network coding capacity; noiseless channels; noisy channels; on-off scheduling; Artificial neural networks; Decoding; Error probability; Network coding; Schedules; Throughput; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
ISSN :
2157-8095
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2012.6283560
Filename :
6283560
Link To Document :
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