DocumentCode
3066682
Title
An empirical scaling law for polar codes
Author
Korada, Satish Babu ; Montanari, Andrea ; Telatar, Emre ; Urbanke, Rüdiger
Author_Institution
Stanford Univ., Stanford, CA, USA
fYear
2010
fDate
13-18 June 2010
Firstpage
884
Lastpage
888
Abstract
Using scaling laws, we obtain estimates of the block error probability of polar codes under successive cancellation decoding. For the binary erasure channel we present an upper and a lower bound for the scaling parameter. Numerically these two bounds match. We also present a scaling law for general binary discrete memoryless channels.
Keywords
channel coding; decoding; error statistics; binary discrete memoryless channels; binary erasure channel; block error probability; empirical scaling law; polar codes; successive cancellation decoding; Capacity planning; Channel capacity; Channel coding; Decoding; Error probability; Floors; Memoryless systems; Mutual information; Physics; Source coding;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISIT.2010.5513579
Filename
5513579
Link To Document