Energy Efficiency of Rate-Splitting Multiple Access for Multibeam Satellite Communications

Jinyuan Liu; Yong Liang Guan; Yao Ge; Longfei Yin; Bruno Clerckx

doi:10.1109/VTC2023-Spring57618.2023.10199995

Energy Efficiency of Rate-Splitting Multiple Access for Multibeam Satellite Communications

Jinyuan Liu^*, Yong Liang Guan^*, Yao Ge, Longfei Yin, Bruno Clerckx

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Energy efficiency (EE) problem has become an important and major issue in satellite communications. In this paper, we study the beamforming design strategy to maximize the EE of rate-splitting multiple access (RSMA) for the multibeam satellite communications by considering imperfect channel state information at the transmitter (CSIT). We propose an expectation-based robust beamforming algorithm against the imperfect CSIT scenario. By combining the successive convex approximation (SCA) with the penalty function transformation, the nonconvex EE maximization problem can be solved in an iterative manner. The simulation results demonstrate the effectiveness and superiority of RSMA over traditional space-division multiple access (SDMA). Moreover, our proposed beamforming algorithm can achieve better EE performance than the conventional beamforming algorithm.

Original language	English
Title of host publication	2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350311143
DOIs	https://doi.org/10.1109/VTC2023-Spring57618.2023.10199995
Publication status	Published - 2023
Externally published	Yes
Event	97th IEEE Vehicular Technology Conference, VTC 2023-Spring - Florence, Italy Duration: Jun 20 2023 → Jun 23 2023

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2023-June
ISSN (Print)	1550-2252

Conference

Conference	97th IEEE Vehicular Technology Conference, VTC 2023-Spring
Country/Territory	Italy
City	Florence
Period	6/20/23 → 6/23/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus Subject Areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Keywords

beamforming design
energy efficiency
imperfect CSIT
multibeam satellite
rate-splitting multiple access

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/VTC2023-Spring57618.2023.10199995

Cite this

Liu, J., Guan, Y. L., Ge, Y., Yin, L., & Clerckx, B. (2023). Energy Efficiency of Rate-Splitting Multiple Access for Multibeam Satellite Communications. In 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings (IEEE Vehicular Technology Conference; Vol. 2023-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2023-Spring57618.2023.10199995

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title = "Energy Efficiency of Rate-Splitting Multiple Access for Multibeam Satellite Communications",

abstract = "Energy efficiency (EE) problem has become an important and major issue in satellite communications. In this paper, we study the beamforming design strategy to maximize the EE of rate-splitting multiple access (RSMA) for the multibeam satellite communications by considering imperfect channel state information at the transmitter (CSIT). We propose an expectation-based robust beamforming algorithm against the imperfect CSIT scenario. By combining the successive convex approximation (SCA) with the penalty function transformation, the nonconvex EE maximization problem can be solved in an iterative manner. The simulation results demonstrate the effectiveness and superiority of RSMA over traditional space-division multiple access (SDMA). Moreover, our proposed beamforming algorithm can achieve better EE performance than the conventional beamforming algorithm.",

keywords = "beamforming design, energy efficiency, imperfect CSIT, multibeam satellite, rate-splitting multiple access",

author = "Jinyuan Liu and Guan, {Yong Liang} and Yao Ge and Longfei Yin and Bruno Clerckx",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 97th IEEE Vehicular Technology Conference, VTC 2023-Spring ; Conference date: 20-06-2023 Through 23-06-2023",

year = "2023",

doi = "10.1109/VTC2023-Spring57618.2023.10199995",

language = "English",

series = "IEEE Vehicular Technology Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings",

address = "United States",

}

Liu, J, Guan, YL, Ge, Y, Yin, L & Clerckx, B 2023, Energy Efficiency of Rate-Splitting Multiple Access for Multibeam Satellite Communications. in 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings. IEEE Vehicular Technology Conference, vol. 2023-June, Institute of Electrical and Electronics Engineers Inc., 97th IEEE Vehicular Technology Conference, VTC 2023-Spring, Florence, Italy, 6/20/23. https://doi.org/10.1109/VTC2023-Spring57618.2023.10199995

Energy Efficiency of Rate-Splitting Multiple Access for Multibeam Satellite Communications. / Liu, Jinyuan; Guan, Yong Liang; Ge, Yao et al.
2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE Vehicular Technology Conference; Vol. 2023-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Energy Efficiency of Rate-Splitting Multiple Access for Multibeam Satellite Communications

AU - Liu, Jinyuan

AU - Guan, Yong Liang

AU - Ge, Yao

AU - Yin, Longfei

AU - Clerckx, Bruno

PY - 2023

Y1 - 2023

N2 - Energy efficiency (EE) problem has become an important and major issue in satellite communications. In this paper, we study the beamforming design strategy to maximize the EE of rate-splitting multiple access (RSMA) for the multibeam satellite communications by considering imperfect channel state information at the transmitter (CSIT). We propose an expectation-based robust beamforming algorithm against the imperfect CSIT scenario. By combining the successive convex approximation (SCA) with the penalty function transformation, the nonconvex EE maximization problem can be solved in an iterative manner. The simulation results demonstrate the effectiveness and superiority of RSMA over traditional space-division multiple access (SDMA). Moreover, our proposed beamforming algorithm can achieve better EE performance than the conventional beamforming algorithm.

AB - Energy efficiency (EE) problem has become an important and major issue in satellite communications. In this paper, we study the beamforming design strategy to maximize the EE of rate-splitting multiple access (RSMA) for the multibeam satellite communications by considering imperfect channel state information at the transmitter (CSIT). We propose an expectation-based robust beamforming algorithm against the imperfect CSIT scenario. By combining the successive convex approximation (SCA) with the penalty function transformation, the nonconvex EE maximization problem can be solved in an iterative manner. The simulation results demonstrate the effectiveness and superiority of RSMA over traditional space-division multiple access (SDMA). Moreover, our proposed beamforming algorithm can achieve better EE performance than the conventional beamforming algorithm.

KW - beamforming design

KW - energy efficiency

KW - imperfect CSIT

KW - multibeam satellite

KW - rate-splitting multiple access

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M3 - Conference contribution

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T3 - IEEE Vehicular Technology Conference

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ER -

Energy Efficiency of Rate-Splitting Multiple Access for Multibeam Satellite Communications

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

UN SDGs

Access to Document

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