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
Cet article étudie le problème commun de l'association des utilisateurs et de l'attribution du spectre dans les réseaux intégrés satellite-terrestre (STIN), où un réseau d'accès par satellite en orbite terrestre basse (LEO) coopérant avec des réseaux terrestres constitue un réseau hétérogène, qui est bénéfique en termes de fourniture une couverture transparente ainsi que l'amélioration de la capacité de liaison pour le scénario de réseau dense. Cependant, le mouvement orbital des satellites entraîne une modification dynamique des satellites accessibles et des capacités de liaison. De plus, le partage du spectre peut être confronté à de graves interférences dans le même canal (CCI) causées par le chevauchement de la couverture de plusieurs points d'accès (AP). Cet article vise à maximiser le débit total en tenant compte des influences de la caractéristique dynamique du STIN, de la limitation de la capacité de liaison et de la gestion des interférences. Le problème d'optimisation est ensuite décomposé en deux sous-problèmes : l'allocation des ressources pour les communications terrestres et les communications par satellite, qui sont tous deux résolus par des algorithmes d'appariement. Enfin, les résultats de simulation montrent l'efficacité du schéma proposé en termes de débit total de STIN et d'efficacité spectrale.
Wenjing QIU
Army Engineering University of PLA
Aijun LIU
Army Engineering University of PLA
Chen HAN
Army Engineering University of PLA
Aihong LU
Suzhou Institute of Trade and Commerce
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Wenjing QIU, Aijun LIU, Chen HAN, Aihong LU, "Joint User Association and Spectrum Allocation in Satellite-Terrestrial Integrated Networks" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 9, pp. 1063-1077, September 2022, doi: 10.1587/transcom.2021EBP3162.
Abstract: This paper investigates the joint problem of user association and spectrum allocation in satellite-terrestrial integrated networks (STINs), where a low earth orbit (LEO) satellite access network cooperating with terrestrial networks constitutes a heterogeneous network, which is beneficial in terms of both providing seamless coverage as well as improving the backhaul capacity for the dense network scenario. However, the orbital movement of satellites results in the dynamic change of accessible satellites and the backhaul capacities. Moreover, spectrum sharing may be faced with severe co-channel interferences (CCIs) caused by overlapping coverage of multiple access points (APs). This paper aims to maximize the total sum rate considering the influences of the dynamic feature of STIN, backhaul capacity limitation and interference management. The optimization problem is then decomposed into two subproblems: resource allocation for terrestrial communications and satellite communications, which are both solved by matching algorithms. Finally, simulation results show the effectiveness of our proposed scheme in terms of STIN's sum rate and spectrum efficiency.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3162/_p
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@ARTICLE{e105-b_9_1063,
author={Wenjing QIU, Aijun LIU, Chen HAN, Aihong LU, },
journal={IEICE TRANSACTIONS on Communications},
title={Joint User Association and Spectrum Allocation in Satellite-Terrestrial Integrated Networks},
year={2022},
volume={E105-B},
number={9},
pages={1063-1077},
abstract={This paper investigates the joint problem of user association and spectrum allocation in satellite-terrestrial integrated networks (STINs), where a low earth orbit (LEO) satellite access network cooperating with terrestrial networks constitutes a heterogeneous network, which is beneficial in terms of both providing seamless coverage as well as improving the backhaul capacity for the dense network scenario. However, the orbital movement of satellites results in the dynamic change of accessible satellites and the backhaul capacities. Moreover, spectrum sharing may be faced with severe co-channel interferences (CCIs) caused by overlapping coverage of multiple access points (APs). This paper aims to maximize the total sum rate considering the influences of the dynamic feature of STIN, backhaul capacity limitation and interference management. The optimization problem is then decomposed into two subproblems: resource allocation for terrestrial communications and satellite communications, which are both solved by matching algorithms. Finally, simulation results show the effectiveness of our proposed scheme in terms of STIN's sum rate and spectrum efficiency.},
keywords={},
doi={10.1587/transcom.2021EBP3162},
ISSN={1745-1345},
month={September},}
Copier
TY - JOUR
TI - Joint User Association and Spectrum Allocation in Satellite-Terrestrial Integrated Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1063
EP - 1077
AU - Wenjing QIU
AU - Aijun LIU
AU - Chen HAN
AU - Aihong LU
PY - 2022
DO - 10.1587/transcom.2021EBP3162
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2022
AB - This paper investigates the joint problem of user association and spectrum allocation in satellite-terrestrial integrated networks (STINs), where a low earth orbit (LEO) satellite access network cooperating with terrestrial networks constitutes a heterogeneous network, which is beneficial in terms of both providing seamless coverage as well as improving the backhaul capacity for the dense network scenario. However, the orbital movement of satellites results in the dynamic change of accessible satellites and the backhaul capacities. Moreover, spectrum sharing may be faced with severe co-channel interferences (CCIs) caused by overlapping coverage of multiple access points (APs). This paper aims to maximize the total sum rate considering the influences of the dynamic feature of STIN, backhaul capacity limitation and interference management. The optimization problem is then decomposed into two subproblems: resource allocation for terrestrial communications and satellite communications, which are both solved by matching algorithms. Finally, simulation results show the effectiveness of our proposed scheme in terms of STIN's sum rate and spectrum efficiency.
ER -