Joint Optimization of Energy Efficiency and Spectrum Efficiency of Single-station Multi-satellite MIMO Uplink System

Juan Zhang; Baoguo Yu; Chengkai Tang; Yi Zhang; Lingling Zhang; Shan Lu

doi:10.1109/ICSPCC52875.2021.9564747

Joint Optimization of Energy Efficiency and Spectrum Efficiency of Single-station Multi-satellite MIMO Uplink System

Juan Zhang
, Baoguo Yu
, Chengkai Tang
, Yi Zhang
, Lingling Zhang
, Shan Lu

School of Electronics and Information

China Electronics Technology Group Corporation
Northwestern Polytechnical University Xian

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

4 Scopus citations

Abstract

Spectrum efficiency and energy efficiency are important performance indicators of the MIMO satellite injection system. However, maximizing EE and SE is a pair of conflicting goals, and it is difficult for both to achieve the optimal at the same time. This paper studies the joint optimization problem of EE and SE in a single-station multi-satellite MIMO injection system, and proposes a knee-point driven EE-SE optimization algorithm. By guiding the evolution direction of the genetic algorithm through the knee points, the transmission power of the base station can be reasonably allocated without clear preference by the decision maker, and the joint optimization of EE and SE can be realized. The simulation results show that the algorithm has good performance in the optimization of EE-SE.

Original language	English
Title of host publication	Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665429184
DOIs	https://doi.org/10.1109/ICSPCC52875.2021.9564747
State	Published - 17 Aug 2021
Event	2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021 - Xi�an, China Duration: 17 Aug 2021 → 19 Aug 2021

Publication series

Name	Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021

Conference

Conference	2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021
Country/Territory	China
City	Xi�an
Period	17/08/21 → 19/08/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Energy efficiency
Genetic algorithm
Knee-point
MIMO
Spectrum efficiency

Access to Document

10.1109/ICSPCC52875.2021.9564747

Cite this

Zhang, J., Yu, B., Tang, C., Zhang, Y., Zhang, L., & Lu, S. (2021). Joint Optimization of Energy Efficiency and Spectrum Efficiency of Single-station Multi-satellite MIMO Uplink System. In Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021 (Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSPCC52875.2021.9564747

Zhang, Juan ; Yu, Baoguo ; Tang, Chengkai et al. / Joint Optimization of Energy Efficiency and Spectrum Efficiency of Single-station Multi-satellite MIMO Uplink System. Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021).

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title = "Joint Optimization of Energy Efficiency and Spectrum Efficiency of Single-station Multi-satellite MIMO Uplink System",

abstract = "Spectrum efficiency and energy efficiency are important performance indicators of the MIMO satellite injection system. However, maximizing EE and SE is a pair of conflicting goals, and it is difficult for both to achieve the optimal at the same time. This paper studies the joint optimization problem of EE and SE in a single-station multi-satellite MIMO injection system, and proposes a knee-point driven EE-SE optimization algorithm. By guiding the evolution direction of the genetic algorithm through the knee points, the transmission power of the base station can be reasonably allocated without clear preference by the decision maker, and the joint optimization of EE and SE can be realized. The simulation results show that the algorithm has good performance in the optimization of EE-SE.",

keywords = "Energy efficiency, Genetic algorithm, Knee-point, MIMO, Spectrum efficiency",

author = "Juan Zhang and Baoguo Yu and Chengkai Tang and Yi Zhang and Lingling Zhang and Shan Lu",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021 ; Conference date: 17-08-2021 Through 19-08-2021",

year = "2021",

month = aug,

day = "17",

doi = "10.1109/ICSPCC52875.2021.9564747",

language = "英语",

series = "Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021",

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

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}

Zhang, J, Yu, B, Tang, C, Zhang, Y, Zhang, L & Lu, S 2021, Joint Optimization of Energy Efficiency and Spectrum Efficiency of Single-station Multi-satellite MIMO Uplink System. in Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021. Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021, Xi�an, China, 17/08/21. https://doi.org/10.1109/ICSPCC52875.2021.9564747

Joint Optimization of Energy Efficiency and Spectrum Efficiency of Single-station Multi-satellite MIMO Uplink System. / Zhang, Juan; Yu, Baoguo; Tang, Chengkai et al.
Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021).

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

TY - GEN

T1 - Joint Optimization of Energy Efficiency and Spectrum Efficiency of Single-station Multi-satellite MIMO Uplink System

AU - Zhang, Juan

AU - Yu, Baoguo

AU - Tang, Chengkai

AU - Zhang, Yi

AU - Zhang, Lingling

AU - Lu, Shan

PY - 2021/8/17

Y1 - 2021/8/17

N2 - Spectrum efficiency and energy efficiency are important performance indicators of the MIMO satellite injection system. However, maximizing EE and SE is a pair of conflicting goals, and it is difficult for both to achieve the optimal at the same time. This paper studies the joint optimization problem of EE and SE in a single-station multi-satellite MIMO injection system, and proposes a knee-point driven EE-SE optimization algorithm. By guiding the evolution direction of the genetic algorithm through the knee points, the transmission power of the base station can be reasonably allocated without clear preference by the decision maker, and the joint optimization of EE and SE can be realized. The simulation results show that the algorithm has good performance in the optimization of EE-SE.

AB - Spectrum efficiency and energy efficiency are important performance indicators of the MIMO satellite injection system. However, maximizing EE and SE is a pair of conflicting goals, and it is difficult for both to achieve the optimal at the same time. This paper studies the joint optimization problem of EE and SE in a single-station multi-satellite MIMO injection system, and proposes a knee-point driven EE-SE optimization algorithm. By guiding the evolution direction of the genetic algorithm through the knee points, the transmission power of the base station can be reasonably allocated without clear preference by the decision maker, and the joint optimization of EE and SE can be realized. The simulation results show that the algorithm has good performance in the optimization of EE-SE.

KW - Energy efficiency

KW - Genetic algorithm

KW - Knee-point

KW - MIMO

KW - Spectrum efficiency

UR - https://www.scopus.com/pages/publications/85118468779

U2 - 10.1109/ICSPCC52875.2021.9564747

DO - 10.1109/ICSPCC52875.2021.9564747

M3 - 会议稿件

AN - SCOPUS:85118468779

T3 - Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021

BT - Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021

Y2 - 17 August 2021 through 19 August 2021

ER -

Zhang J, Yu B, Tang C, Zhang Y, Zhang L, Lu S. Joint Optimization of Energy Efficiency and Spectrum Efficiency of Single-station Multi-satellite MIMO Uplink System. In Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021). doi: 10.1109/ICSPCC52875.2021.9564747

Joint Optimization of Energy Efficiency and Spectrum Efficiency of Single-station Multi-satellite MIMO Uplink System

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Keywords

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