The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
우리는 주파수 유연성을 갖춘 최신 고처리량 위성(HTS)을 포함하는 위성 통신(SATCOM) 시스템에 대역폭을 할당하는 접근 방식을 제안합니다. 시스템을 효율적으로 운영하기 위해 HTS 빔당 사용자 단말의 통신 요구량을 초과하도록 할당된 대역폭을 허용하는 제어 방법을 사용하여 SATCOM에 사용 가능한 제한된 대역폭 자원을 관리합니다. 이를 위해 SATCOM에 대한 대역폭 할당을 최적의 제어 문제로 고려합니다. 그리고 통신 요청 모델이 이용 가능하다고 가정하고, 모델 예측 제어와 희소 최적화를 결합한 최적의 제어 방법을 제안한다. 결과적인 제어 방법은 제한된 대역폭을 효율적으로 사용할 수 있게 하며 기존 주파수 할당 및 주파수 유연성이 없는 설정에 비해 HTS에 대한 대역폭 손실 및 제어 작업 수를 줄입니다. 또한, 제안된 방법은 해당 가중치 행렬을 조정하여 다양한 제어 목표 및 빔 우선 순위에 따라 대역폭을 할당할 수 있습니다. 이러한 결과는 실제 비행추적자료를 분석하여 얻은 통신요청의 단순시간변동모델과 예측된 항공기 통신수요를 수치모사를 통해 검증하였다.
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
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부
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
부
@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},}
부
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 -