Cooperative Precoding for Integrated Sensing and Communication in Massive MIMO LEO Satellite-Terrestrial Networks

This paper presents an investigation into the application of integrated sensing and communication (ISAC) technology in massive multiple-input multiple-output (MIMO) low earth orbit (LEO) satellite-terrestrial networks (STNs). We formulate a sum-rate maximization problem subject to constraints on sensing performance and energy consumption. Subsequently, we propose a novel cooperative precoding scheme to balance the trade-off between communication and sensing performance. Simulation results demonstrate that our cooperative precoding scheme successfully balances communication and sensing performance, thereby improving the overall system performance.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-09-24
DOI
https://doi.org/10.1109/lwc.2025.3614432
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
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article

Cooperative Precoding for Integrated Sensing and Communication in Massive MIMO LEO Satellite-Terrestrial Networks

Haoyue Li, Qingfu Kong, Yuanshuo Wang, Xiqi Gao et al.
IEEE Wireless Communications Letters
Satellite Communication Systems
article

Cooperative Precoding for Integrated Sensing and Communication in Massive MIMO LEO Satellite-Terrestrial Networks

Haoyue Li, Qingfu Kong, Yuanshuo Wang, Xiqi Gao, Li You, Feng Zhu, H. Zhou
article en

Abstract

This paper presents an investigation into the application of integrated sensing and communication (ISAC) technology in massive multiple-input multiple-output (MIMO) low earth orbit (LEO) satellite-terrestrial networks (STNs). We formulate a sum-rate maximization problem subject to constraints on sensing performance and energy consumption. Subsequently, we propose a novel cooperative precoding scheme to balance the trade-off between communication and sensing performance. Simulation results demonstrate that our cooperative precoding scheme successfully balances communication and sensing performance, thereby improving the overall system performance.

IEEE Wireless Communications LettersVol. 14(12)
Purple Mountain Laboratories (CN), Southeast University (CN)
Openalex Percentile: Top 66%
Satellite Communication Systems
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