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Journal Article Dynamic power and bandwidth allocation for DVB‐based LEO satellite systems
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Authors
Satya Chan, Gyuseong Jo, Sooyoung Kim, Daesub Oh, Bon-Jun Ku
Issue Date
2022-12
Citation
ETRI Journal, v.44, no.6, pp.955-965
ISSN
1225-6463
Publisher
한국전자통신연구원 (ETRI)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.2022-0192
Abstract
A low Earth orbit (LEO) satellite constellation could be used to provide network coverage for the entire globe. This study considers multi-beam frequency reuse in LEO satellite systems. In such a system, the channel is time-varying due to the fast movement of the satellite. This study proposes an efficient power and bandwidth allocation method that employs two linear machine learning algorithms and take channel conditions and traffic demand (TD) as input. With the aid of a simple linear system, the proposed scheme allows for the optimum allocation of resources under dynamic channel and TD conditions. Additionally, efficient projection schemes are added to the proposed method so that the provided capacity is best approximated to TD when TD exceeds the maximum allowable system capacity. The simulation results show that the proposed method outperforms existing methods.
KSP Keywords
Allocation method, Dynamic channel, Dynamic power, Linear machine, Linear systems, Low earth orbit (LEO) satellite, Machine Learning Algorithms, Multi-beam, Network Coverage, Projection schemes, Satellite Constellation
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: