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**Harvard**

Xiao, M., Aulin, T. och Médard, M. (2011) *Cross-Layer Design of Rateless Random Network Codes for Delay optimization*.

** BibTeX **

@article{

Xiao2011,

author={Xiao, Ming and Aulin, Tor and Médard, Muriel},

title={Cross-Layer Design of Rateless Random Network Codes for Delay optimization},

journal={IEEE Transactions on Communications},

issn={0090-6778},

volume={59},

issue={12},

pages={3311-3322},

abstract={We study joint network and channel code design to
optimize delay performance. Here the delay is the transmission time of information packets from a source to sinks without considering queuing effects. In our systems, network codes(network layer) are on top of channel codes (physical layer)which are disturbed by noise. Network codes run in a rateless random method, and thus have erasure-correction capability. For the constraint of finite transmission time, transmission errors are
inevitable in the physical layer. A detection error in the physical layer means an erasure of network codewords. For the analysis, we model the delay of each information generation in the network layer as independent, identically distributed random variables.
The calculation approaches for delay measures are investigated for coded erasure networks. We show how to evaluate the rate and erasure probability of a set of channels belonging to one cut.
We also show that the min-cut determines the decoding error
probability in the sinks if the number of information packets is large. We observe that for a given amount of source information, larger packet length leads to fewer packets to be transmitted but higher physical-layer detection error probabilities. Further, longer transmission time (delay) in the physical-layer causes
smaller detection error probability at the physical layer. Thus, both parameters have opposite impacts on the physical and network layer, considering delay. We should find the optimal values of them in a cross-layer approach. We then formulate the problems of optimizing delay performance, and discuss solutions for them.},

year={2011},

keywords={Nretwork Coding, Delay Optimization},

}

** RefWorks **

RT Journal Article

SR Electronic

ID 152551

A1 Xiao, Ming

A1 Aulin, Tor

A1 Médard, Muriel

T1 Cross-Layer Design of Rateless Random Network Codes for Delay optimization

YR 2011

JF IEEE Transactions on Communications

SN 0090-6778

VO 59

IS 12

SP 3311

OP 3322

AB We study joint network and channel code design to
optimize delay performance. Here the delay is the transmission time of information packets from a source to sinks without considering queuing effects. In our systems, network codes(network layer) are on top of channel codes (physical layer)which are disturbed by noise. Network codes run in a rateless random method, and thus have erasure-correction capability. For the constraint of finite transmission time, transmission errors are
inevitable in the physical layer. A detection error in the physical layer means an erasure of network codewords. For the analysis, we model the delay of each information generation in the network layer as independent, identically distributed random variables.
The calculation approaches for delay measures are investigated for coded erasure networks. We show how to evaluate the rate and erasure probability of a set of channels belonging to one cut.
We also show that the min-cut determines the decoding error
probability in the sinks if the number of information packets is large. We observe that for a given amount of source information, larger packet length leads to fewer packets to be transmitted but higher physical-layer detection error probabilities. Further, longer transmission time (delay) in the physical-layer causes
smaller detection error probability at the physical layer. Thus, both parameters have opposite impacts on the physical and network layer, considering delay. We should find the optimal values of them in a cross-layer approach. We then formulate the problems of optimizing delay performance, and discuss solutions for them.

LA eng

LK http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6094125

OL 30