IEICE TRANSACTIONS on Fundamentals
Frequency Resource Management Based on Model Predictive Control for Satellite Communications System
Summary :
We propose an approach to allocate bandwidth for a satellite communications (SATCOM) system that includes the recent high-throughput satellite (HTS) with frequency flexibility. To efficiently operate the system, we manage the limited bandwidth resources available for SATCOM by employing a control method that allows the allocated bandwidths to exceed the communication demand of user terminals per HTS beam. To this end, we consider bandwidth allocation for SATCOM as an optimal control problem. Then, assuming that the model of communication requests is available, we propose an optimal control method by combining model predictive control and sparse optimization. The resulting control method enables the efficient use of the limited bandwidth and reduces the bandwidth loss and number of control actions for the HTS compared to a setup with conventional frequency allocation and no frequency flexibility. Furthermore, the proposed method allows to allocate bandwidth depending on various control objectives and beam priorities by tuning the corresponding weighting matrices. These findings were verified through numerical simulations by using a simple time variation model of the communication requests and predicted aircraft communication demand obtained from the analysis of actual flight tracking data.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.12 pp.2434-2445
- Publication Date
- 2018/12/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E101.A.2434
- Type of Manuscript
- PAPER
- Category
- Systems and Control
Authors
Yuma ABE
National Institute of Information and Communications Technology,Keio University
Hiroyuki TSUJI
National Institute of Information and Communications Technology
Amane MIURA
National Institute of Information and Communications Technology
Shuichi ADACHI
Keio University
Keyword
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Yuma ABE, Hiroyuki TSUJI, Amane MIURA, Shuichi ADACHI, "Frequency Resource Management Based on Model Predictive Control for Satellite Communications System" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 12, pp. 2434-2445, December 2018, doi: 10.1587/transfun.E101.A.2434.
Abstract: We propose an approach to allocate bandwidth for a satellite communications (SATCOM) system that includes the recent high-throughput satellite (HTS) with frequency flexibility. To efficiently operate the system, we manage the limited bandwidth resources available for SATCOM by employing a control method that allows the allocated bandwidths to exceed the communication demand of user terminals per HTS beam. To this end, we consider bandwidth allocation for SATCOM as an optimal control problem. Then, assuming that the model of communication requests is available, we propose an optimal control method by combining model predictive control and sparse optimization. The resulting control method enables the efficient use of the limited bandwidth and reduces the bandwidth loss and number of control actions for the HTS compared to a setup with conventional frequency allocation and no frequency flexibility. Furthermore, the proposed method allows to allocate bandwidth depending on various control objectives and beam priorities by tuning the corresponding weighting matrices. These findings were verified through numerical simulations by using a simple time variation model of the communication requests and predicted aircraft communication demand obtained from the analysis of actual flight tracking data.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.2434/_p
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@ARTICLE{e101-a_12_2434,
author={Yuma ABE, Hiroyuki TSUJI, Amane MIURA, Shuichi ADACHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Frequency Resource Management Based on Model Predictive Control for Satellite Communications System},
year={2018},
volume={E101-A},
number={12},
pages={2434-2445},
abstract={We propose an approach to allocate bandwidth for a satellite communications (SATCOM) system that includes the recent high-throughput satellite (HTS) with frequency flexibility. To efficiently operate the system, we manage the limited bandwidth resources available for SATCOM by employing a control method that allows the allocated bandwidths to exceed the communication demand of user terminals per HTS beam. To this end, we consider bandwidth allocation for SATCOM as an optimal control problem. Then, assuming that the model of communication requests is available, we propose an optimal control method by combining model predictive control and sparse optimization. The resulting control method enables the efficient use of the limited bandwidth and reduces the bandwidth loss and number of control actions for the HTS compared to a setup with conventional frequency allocation and no frequency flexibility. Furthermore, the proposed method allows to allocate bandwidth depending on various control objectives and beam priorities by tuning the corresponding weighting matrices. These findings were verified through numerical simulations by using a simple time variation model of the communication requests and predicted aircraft communication demand obtained from the analysis of actual flight tracking data.},
keywords={},
doi={10.1587/transfun.E101.A.2434},
ISSN={1745-1337},
month={December},}
Copy
TY - JOUR
TI - Frequency Resource Management Based on Model Predictive Control for Satellite Communications System
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2434
EP - 2445
AU - Yuma ABE
AU - Hiroyuki TSUJI
AU - Amane MIURA
AU - Shuichi ADACHI
PY - 2018
DO - 10.1587/transfun.E101.A.2434
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2018
AB - We propose an approach to allocate bandwidth for a satellite communications (SATCOM) system that includes the recent high-throughput satellite (HTS) with frequency flexibility. To efficiently operate the system, we manage the limited bandwidth resources available for SATCOM by employing a control method that allows the allocated bandwidths to exceed the communication demand of user terminals per HTS beam. To this end, we consider bandwidth allocation for SATCOM as an optimal control problem. Then, assuming that the model of communication requests is available, we propose an optimal control method by combining model predictive control and sparse optimization. The resulting control method enables the efficient use of the limited bandwidth and reduces the bandwidth loss and number of control actions for the HTS compared to a setup with conventional frequency allocation and no frequency flexibility. Furthermore, the proposed method allows to allocate bandwidth depending on various control objectives and beam priorities by tuning the corresponding weighting matrices. These findings were verified through numerical simulations by using a simple time variation model of the communication requests and predicted aircraft communication demand obtained from the analysis of actual flight tracking data.
ER -
English
