IEICE TRANSACTIONS on Communications
Joint User Association and Spectrum Allocation in Satellite-Terrestrial Integrated Networks
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E105-B No.9 pp.1063-1077
- Publication Date
- 2022/09/01
- Publicized
- 2022/03/15
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2021EBP3162
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
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
Keyword
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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},}
Copy
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 -
English
