@inproceedings{9bbf03f2f40a4d6eb7190b7f88918e1b,
title = "Low-frequent feedback adaptive transmission based on satellite trajectory prediction",
abstract = "In this paper, we propose a low-frequent feedback adaptive transmission strategy in low-earth-orbit (LEO) satellite adaptive transmission system based on that the satellite trajectory can be predicted. In this adaptive transmission system, we adopt rateless Spinal Codes as physical layer coding and modulation method. We use finite sets of feedback data to predict and revise the signal-to-noise ratio (SNR) in real time to adjust the number of transmitted symbols of Spinal Codes during a communication window. The feedback times can be reduced to almost 1/300 of the Digital Video Broadcasting (DVB-S2) which sends the feedback information every 2 seconds. Our simulation results show the maximum reduction of throughput doesn't exceed 0.4\% while more feedback resources are reserved.",
keywords = "Adaptive transmission, Feedback, LEO satellite, Weather attenuation",
author = "Hongxiu Bian and Rongke Liu and Ruifeng Duan and You Zhou and Zhiyuan Li",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2nd IEEE International Conference on Computer and Communications, ICCC 2016 ; Conference date: 14-10-2016 Through 17-10-2016",
year = "2017",
month = may,
day = "10",
doi = "10.1109/CompComm.2016.7925017",
language = "英语",
series = "2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1823--1827",
booktitle = "2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings",
address = "美国",
}