Hybrid precoding with a grouped-adaptive-connected structure in low-earth-orbit satellite system

Danlin Mu; Jie Zeng

doi:10.1117/12.3031362

Hybrid precoding with a grouped-adaptive-connected structure in low-earth-orbit satellite system

Danlin Mu^*
, Jie Zeng

^*Corresponding author for this work

Chongqing University
Tsinghua University

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

Abstract

Elevating energy efficiency (EE) poses significant challenges, primarily associated with implementation complexity and energy consumption. In this paper, we explore a type of hybrid precoder under grouped-adaptive-connected (GAC), In this configuration, divide the antennas into groups and switches dynamically control the links between Radio Frequency (RF) chains and antenna groups. Within the GAC structure, we formulate the design of hybrid precoder as an optimization problem aimed at maximizing EE. Additionally, we divide the task of maximizing EE into two problems of spectral efficiency (SE) maximization and combinatorial optimization. To address the issue, this paper introduces an LEO satellite hybrid precoding algorithm. Additionally, building upon the solution obtained from last problem, we propose a GAC hybrid precoding algorithm (GACHP) based on cross-entropy. Results of simulation indicate that under the GACHP algorithm, system parameters can be configured and adapted to maximize EE of system.

Original language	English
Title of host publication	Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology, EIBDCT 2024
Editors	Jie Zhang, Ning Sun
Publisher	SPIE
ISBN (Electronic)	9781510680449
DOIs	https://doi.org/10.1117/12.3031362
Publication status	Published - 2024
Externally published	Yes
Event	3rd International Conference on Electronic Information Engineering, Big Data, and Computer Technology, EIBDCT 2024 - Beijing, China Duration: 26 Jan 2024 → 28 Jan 2024

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	13181
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	3rd International Conference on Electronic Information Engineering, Big Data, and Computer Technology, EIBDCT 2024
Country/Territory	China
City	Beijing
Period	26/01/24 → 28/01/24

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

energy efficiency
grouped-adaptive-connected
hybrid precoding
LEO satellite
massive MIMO

Access to Document

10.1117/12.3031362

Cite this

Mu, D., & Zeng, J. (2024). Hybrid precoding with a grouped-adaptive-connected structure in low-earth-orbit satellite system. In J. Zhang, & N. Sun (Eds.), Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology, EIBDCT 2024 Article 1318104 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 13181). SPIE. https://doi.org/10.1117/12.3031362

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title = "Hybrid precoding with a grouped-adaptive-connected structure in low-earth-orbit satellite system",

abstract = "Elevating energy efficiency (EE) poses significant challenges, primarily associated with implementation complexity and energy consumption. In this paper, we explore a type of hybrid precoder under grouped-adaptive-connected (GAC), In this configuration, divide the antennas into groups and switches dynamically control the links between Radio Frequency (RF) chains and antenna groups. Within the GAC structure, we formulate the design of hybrid precoder as an optimization problem aimed at maximizing EE. Additionally, we divide the task of maximizing EE into two problems of spectral efficiency (SE) maximization and combinatorial optimization. To address the issue, this paper introduces an LEO satellite hybrid precoding algorithm. Additionally, building upon the solution obtained from last problem, we propose a GAC hybrid precoding algorithm (GACHP) based on cross-entropy. Results of simulation indicate that under the GACHP algorithm, system parameters can be configured and adapted to maximize EE of system.",

keywords = "energy efficiency, grouped-adaptive-connected, hybrid precoding, LEO satellite, massive MIMO",

author = "Danlin Mu and Jie Zeng",

note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; 3rd International Conference on Electronic Information Engineering, Big Data, and Computer Technology, EIBDCT 2024 ; Conference date: 26-01-2024 Through 28-01-2024",

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language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

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Mu, D & Zeng, J 2024, Hybrid precoding with a grouped-adaptive-connected structure in low-earth-orbit satellite system. in J Zhang & N Sun (eds), Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology, EIBDCT 2024., 1318104, Proceedings of SPIE - The International Society for Optical Engineering, vol. 13181, SPIE, 3rd International Conference on Electronic Information Engineering, Big Data, and Computer Technology, EIBDCT 2024, Beijing, China, 26/01/24. https://doi.org/10.1117/12.3031362

Hybrid precoding with a grouped-adaptive-connected structure in low-earth-orbit satellite system. / Mu, Danlin; Zeng, Jie.
Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology, EIBDCT 2024. ed. / Jie Zhang; Ning Sun. SPIE, 2024. 1318104 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 13181).

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

TY - GEN

T1 - Hybrid precoding with a grouped-adaptive-connected structure in low-earth-orbit satellite system

AU - Mu, Danlin

AU - Zeng, Jie

N1 - Publisher Copyright: © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

PY - 2024

Y1 - 2024

N2 - Elevating energy efficiency (EE) poses significant challenges, primarily associated with implementation complexity and energy consumption. In this paper, we explore a type of hybrid precoder under grouped-adaptive-connected (GAC), In this configuration, divide the antennas into groups and switches dynamically control the links between Radio Frequency (RF) chains and antenna groups. Within the GAC structure, we formulate the design of hybrid precoder as an optimization problem aimed at maximizing EE. Additionally, we divide the task of maximizing EE into two problems of spectral efficiency (SE) maximization and combinatorial optimization. To address the issue, this paper introduces an LEO satellite hybrid precoding algorithm. Additionally, building upon the solution obtained from last problem, we propose a GAC hybrid precoding algorithm (GACHP) based on cross-entropy. Results of simulation indicate that under the GACHP algorithm, system parameters can be configured and adapted to maximize EE of system.

AB - Elevating energy efficiency (EE) poses significant challenges, primarily associated with implementation complexity and energy consumption. In this paper, we explore a type of hybrid precoder under grouped-adaptive-connected (GAC), In this configuration, divide the antennas into groups and switches dynamically control the links between Radio Frequency (RF) chains and antenna groups. Within the GAC structure, we formulate the design of hybrid precoder as an optimization problem aimed at maximizing EE. Additionally, we divide the task of maximizing EE into two problems of spectral efficiency (SE) maximization and combinatorial optimization. To address the issue, this paper introduces an LEO satellite hybrid precoding algorithm. Additionally, building upon the solution obtained from last problem, we propose a GAC hybrid precoding algorithm (GACHP) based on cross-entropy. Results of simulation indicate that under the GACHP algorithm, system parameters can be configured and adapted to maximize EE of system.

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Mu D, Zeng J. Hybrid precoding with a grouped-adaptive-connected structure in low-earth-orbit satellite system. In Zhang J, Sun N, editors, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology, EIBDCT 2024. SPIE. 2024. 1318104. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.3031362

Hybrid precoding with a grouped-adaptive-connected structure in low-earth-orbit satellite system

Abstract

Publication series

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UN SDGs

Keywords

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