DocumentCode :
2940120
Title :
Low Complexity Encoding for Network Codes
Author :
Jaggi, Sidharth ; Cassuto, Yuval ; Effros, Michelle
Author_Institution :
Lab. of Inf. & Decision Sci., Massachusetts Inst. of Technol., Cambridge, MA
fYear :
2006
fDate :
9-14 July 2006
Firstpage :
40
Lastpage :
44
Abstract :
In this paper we consider the per-node run-time complexity of network multicast codes. We show that the randomized algebraic network code design algorithms described extensively in the literature result in codes that on average require a number of operations that scales quadratically with the block-length m of the codes. We then propose an alternative type of linear network code whose complexity scales linearly in m and still enjoys the attractive properties of random algebraic network codes. We also show that these codes are optimal in the sense that any rate-optimal linear network code must have at least a linear scaling in run-time complexity
Keywords :
algebraic codes; computational complexity; linear codes; multicast communication; random codes; telecommunication networks; linear network code; low complexity encoding; network multicast codes; randomized algebraic network code; run-time complexity; Algorithm design and analysis; Arithmetic; Capacity planning; Character generation; Circuits; Encoding; Laboratories; Linear code; Multicast algorithms; Runtime;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
Type :
conf
DOI :
10.1109/ISIT.2006.261594
Filename :
4035917
Link To Document :
بازگشت