Distributed MIMO-LEO Satellites Communication

This paper investigates cooperative gain and power control in MIMO-enabled low Earth orbit (LEO) satellite communications under dominant line-of-sight (LoS) propagation. To enable theoretical analysis, the minimum mean square error (MMSE) estimator is employed to characterize channel estimation errors, based on which a closed-form lower bound on the achievable data rate is derived. Building on this, we formulate and solve a sum-rate maximization problem by jointly optimizing satellite combination strategies and transmit power. Numerical results validate the tightness of the analytical bound, particularly for large Rician factors, and demonstrate substantial performance gains over existing benchmarks.

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Publication Details

Published
2025-08-10
DOI
https://doi.org/10.1109/icccworkshops67136.2025.11148144
Primary Topic
Satellite Communication Systems
Type
article
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article

Distributed MIMO-LEO Satellites Communication

Pei Xiao, De Mi, Jiuyu Liu, Yi Ma et al.
Satellite Communication Systems
article

Distributed MIMO-LEO Satellites Communication

Pei Xiao, De Mi, Jiuyu Liu, Yi Ma, Qu Luo, Rahim Tafazolli
article en

Abstract

This paper investigates cooperative gain and power control in MIMO-enabled low Earth orbit (LEO) satellite communications under dominant line-of-sight (LoS) propagation. To enable theoretical analysis, the minimum mean square error (MMSE) estimator is employed to characterize channel estimation errors, based on which a closed-form lower bound on the achievable data rate is derived. Building on this, we formulate and solve a sum-rate maximization problem by jointly optimizing satellite combination strategies and transmit power. Numerical results validate the tightness of the analytical bound, particularly for large Rician factors, and demonstrate substantial performance gains over existing benchmarks.

Birmingham City University (GB), University of Surrey (GB)
Openalex Percentile: Top 67%
Satellite Communication Systems
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