Title
Expander Chunked Codes.
Abstract
Abstract Chunked codes are efficient random linear network coding (RLNC) schemes with low computational cost, where the input packets are encoded into small chunks (i.e., subsets of the coded packets). During the network transmission, RLNC is performed within each chunk. In this paper, we first introduce a simple transfer matrix model to characterize the transmission of chunks and derive some basic properties of the model to facilitate the performance analysis. We then focus on the design of overlapped chunked codes, a class of chunked codes whose chunks are non-disjoint subsets of input packets, which are of special interest since they can be encoded with negligible computational cost and in a causal fashion. We propose expander chunked (EC) codes, the first class of overlapped chunked codes that have an analyzable performance, where the construction of the chunks makes use of regular graphs. Numerical and simulation results show that in some practical settings, EC codes can achieve rates within 91 to 97 % of the optimum and outperform the state-of-the-art overlapped chunked codes significantly.
Year
DOI
Venue
2013
10.1186/s13634-015-0297-8
Eurasip Journal on Advances in Signal Processing
Keywords
Field
DocType
Random linear network coding,Chunked codes,Iterative decoding,Random regular graph
Linear network coding,Random regular graph,Graph,Computer science,Block code,Network packet,Expander code,Algorithm
Journal
Volume
Issue
ISSN
abs/1307.5664
106
1687-6180
Citations 
PageRank 
References 
1
0.36
21
Authors
5
Name
Order
Citations
PageRank
Bin Tang17815.55
Shenghao Yang212815.00
Baoliu Ye321232.11
Yitong Yin421323.42
Sanglu Lu51380144.07