@inproceedings{017ae78fdd2d48449347938fdbd2b62f,
title = "A novel high efficiency distributed UEP rateless coding scheme for satellite network data transmission",
abstract = "As the satellite networks can provide Internet access services, there are more and more kinds of data are transmitted on it. To ensure all kinds of data can be transmitted satisfied their own reliable requirements and obtain high transmission efficiency, a novel UEP transmission scheme based on distributed LT codes was proposed in this paper. In which scheme, the sub-codes on each node in the satellite network are performed with EEP property. By assigned different output degree distributions for the sub-codes, different kinds of data transmitted under the proposed scheme can be recovered by different reliable levels with nearly optimal transmission efficiency. On other hand, compared with the traditional distributed LT codes based transmission schemes, the relay nodes in proposed scheme do not have to know the reliable level of each source node, hence the security of the data can be guaranteed. We also make the asymptotic and finite-length analysis of proposed coding scheme, and the numerical results shows that the proposed scheme can provide UEP property between different kinds of data with low overhead performance, which can ensure the efficiency of data transmission.",
keywords = "Asymptotic analysis, Finite length evaluation, LT codes, Low overhead, Satellite networks, Unequal error protection",
author = "Shuang Wu and Zhenyong Wang and Dezhi Li and Qing Guo and Gongliang Liu",
note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.; 2nd International Conference on Machine Learning and Intelligent Communications, MLICOM 2017 ; Conference date: 05-08-2017 Through 06-08-2017",
year = "2018",
doi = "10.1007/978-3-319-73564-1\_56",
language = "英语",
isbn = "9783319735634",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "564--573",
editor = "Xuemai Gu and Gongliang Liu and Bo Li",
booktitle = "Machine Learning and Intelligent Communications - Second International Conference, MLICOM 2017, Proceedings",
address = "德国",
}