Research Article
Traffic Prediction Based Capacity Pre-assignment Scheme for Low Latency in LEO Satellite Communication Systems
@INPROCEEDINGS{10.1007/978-3-030-69069-4_2, author={Jingyu Tang and Guangxia Li and Dongming Bian and Jing Hu}, title={Traffic Prediction Based Capacity Pre-assignment Scheme for Low Latency in LEO Satellite Communication Systems}, proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part I}, proceedings_a={WISATS}, year={2021}, month={2}, keywords={LEO satellite communication systems Low latency Network traffic Traffic prediction Self-similar model Free capacity assignment FARIMA ARIMA}, doi={10.1007/978-3-030-69069-4_2} }- Jingyu Tang
Guangxia Li
Dongming Bian
Jing Hu
Year: 2021
Traffic Prediction Based Capacity Pre-assignment Scheme for Low Latency in LEO Satellite Communication Systems
WISATS
Springer
DOI: 10.1007/978-3-030-69069-4_2
Abstract
Low latency is an important index in LEO satellite communication systems, while the satellite capacity “application-assignment” scheme based on the DVB-RCS2 standard in the return channel causes a long round-trip delay. To improving the quality of experience (QoE), in this paper, a more aggressive capacity pre-assignment scheme combining traffic prediction and free capacity assignment (FCA) is proposed. The network control center (NCC) predicts traffic for every return channel satellite terminal (RCST) and assigns capacities in advance without capacity requests. Several FCA strategies based on multi-frequency time division multiple accesses (MF-TDMA) in the physical layer are analyzed as a compensatory capacity assignment method to deal with the inaccuracy of traffic prediction. Simulation results show that the proposed FCA strategies have better performance than existing FCA strategies.
