AoI-Aware Multi-User Downlink Transmission Scheme for LEO Satellite Systems

Due to the increasing demands of users for information freshness and constrained power resources of low-earth orbit (LEO) satellite, this paper proposes a multi-user downlink transmission scheme to achieve a trade-off between age of information (AoI) and transmit power for LEO satellite systems. To this end, a constrained optimization problem is first formulated to minimize the weighted sum of long-term average AoI and transmit power, subject to the constraints of the maximal time-averaged AoI, the limited number of scheduled users, and the transmit power budget. Then, with the help of the drift-plus-penalty minimization method, the long-term optimization problem is transformed into a single-slot problem, so that the complex problem is mathematically tractable. Moreover, an angular-based joint beamforming and multi-user scheduling strategy is proposed to address the optimization problem. Finally, simulations verify that the proposed transmission scheme can achieve a trade-off between AoI and transmit power compared to the benchmarks.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-09-22
DOI
https://doi.org/10.1109/lwc.2025.3612729
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

AoI-Aware Multi-User Downlink Transmission Scheme for LEO Satellite Systems

IEEE Wireless Communications Letters
Geochemistry and Geologic Mapping
article

AoI-Aware Multi-User Downlink Transmission Scheme for LEO Satellite Systems

article en

Abstract

Due to the increasing demands of users for information freshness and constrained power resources of low-earth orbit (LEO) satellite, this paper proposes a multi-user downlink transmission scheme to achieve a trade-off between age of information (AoI) and transmit power for LEO satellite systems. To this end, a constrained optimization problem is first formulated to minimize the weighted sum of long-term average AoI and transmit power, subject to the constraints of the maximal time-averaged AoI, the limited number of scheduled users, and the transmit power budget. Then, with the help of the drift-plus-penalty minimization method, the long-term optimization problem is transformed into a single-slot problem, so that the complex problem is mathematically tractable. Moreover, an angular-based joint beamforming and multi-user scheduling strategy is proposed to address the optimization problem. Finally, simulations verify that the proposed transmission scheme can achieve a trade-off between AoI and transmit power compared to the benchmarks.

IEEE Wireless Communications LettersVol. 14(12)
Nanjing University of Posts and Telecommunications (CN), Hangzhou Dianzi University (CN), Indian Institute of Technology Indore (IN)
Openalex Percentile: Top 31%
Geochemistry and Geologic Mapping
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