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
Les réseaux non terrestres (NTN) peuvent fournir une connectivité transparente et omniprésente d'appareils massifs. Ainsi, les liaisons de connexion entre les satellites et les passerelles doivent fournir des débits de transmission de données essentiellement élevés. Dans cet article, nous nous concentrons sur un scénario typique de haute capacité, à savoir LEO-IoT, pour trouver un schéma de sélection de satellite optimal afin de maximiser la capacité des liaisons de connexion. Le schéma proposé est capable d'obtenir la cartographie optimale parmi tous les satellites et passerelles. En comparant avec l'algorithme de temps de service maximum, le schéma proposé peut construire un modèle de connexion plus équilibré et plus raisonnable pour améliorer l'efficacité des passerelles. Cet avantage deviendra encore plus important à mesure que le nombre de satellites augmentera.
Rui CHEN
Nanjing University of Posts and Telecommunications
Wen-nai WANG
Nanjing University of Posts and Telecommunications
Wei WU
Nanjing University of Posts and Telecommunications
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Rui CHEN, Wen-nai WANG, Wei WU, "An Optimal Satellite Selection Schema in Feeder Link Mapping for High-Capacity Scenario" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 11, pp. 1237-1243, November 2023, doi: 10.1587/transcom.2023EBP3041.
Abstract: Non-Terrestrial-Network (NTN) can provide seamless and ubiquitous connectivity of massive devices. Thus, the feeder links between satellites and gateways need to provide essentially high data transmission rates. In this paper, we focus on a typical high-capacity scenario, i.e., LEO-IoT, to find an optimal satellite selection schema to maximize the capacity of feeder links. The proposed schema is able to obtain the optimal mapping among all the satellites and gateways. By comparing with maximum service time algorithm, the proposed schema can construct a more balanced and reasonable connection pattern to improve the efficiency of the gateways. Such an advantage will become more significant as the number of satellites increases.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2023EBP3041/_p
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@ARTICLE{e106-b_11_1237,
author={Rui CHEN, Wen-nai WANG, Wei WU, },
journal={IEICE TRANSACTIONS on Communications},
title={An Optimal Satellite Selection Schema in Feeder Link Mapping for High-Capacity Scenario},
year={2023},
volume={E106-B},
number={11},
pages={1237-1243},
abstract={Non-Terrestrial-Network (NTN) can provide seamless and ubiquitous connectivity of massive devices. Thus, the feeder links between satellites and gateways need to provide essentially high data transmission rates. In this paper, we focus on a typical high-capacity scenario, i.e., LEO-IoT, to find an optimal satellite selection schema to maximize the capacity of feeder links. The proposed schema is able to obtain the optimal mapping among all the satellites and gateways. By comparing with maximum service time algorithm, the proposed schema can construct a more balanced and reasonable connection pattern to improve the efficiency of the gateways. Such an advantage will become more significant as the number of satellites increases.},
keywords={},
doi={10.1587/transcom.2023EBP3041},
ISSN={1745-1345},
month={November},}
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TY - JOUR
TI - An Optimal Satellite Selection Schema in Feeder Link Mapping for High-Capacity Scenario
T2 - IEICE TRANSACTIONS on Communications
SP - 1237
EP - 1243
AU - Rui CHEN
AU - Wen-nai WANG
AU - Wei WU
PY - 2023
DO - 10.1587/transcom.2023EBP3041
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2023
AB - Non-Terrestrial-Network (NTN) can provide seamless and ubiquitous connectivity of massive devices. Thus, the feeder links between satellites and gateways need to provide essentially high data transmission rates. In this paper, we focus on a typical high-capacity scenario, i.e., LEO-IoT, to find an optimal satellite selection schema to maximize the capacity of feeder links. The proposed schema is able to obtain the optimal mapping among all the satellites and gateways. By comparing with maximum service time algorithm, the proposed schema can construct a more balanced and reasonable connection pattern to improve the efficiency of the gateways. Such an advantage will become more significant as the number of satellites increases.
ER -