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Multi-Satellite Cooperative MIMO Transmission: Statistical CSI-Aware RSMA Precoding Design

Signal Processing 2025-08-18 v1 Information Theory math.IT

Abstract

We investigate inter-satellite cooperative transmission in a multiple low-Earth orbit (LEO) satellite communication system to enhance spectral efficiency. Specifically, we design multiple-input multipleoutput (MIMO) precoding at LEO satellites for cooperative rate-splitting multiple access (RSMA). Given the difficulty of acquiring instantaneous channel state information (iCSI) due to long delays and Doppler effects, we formulate an ergodic max-min fairness rate (MMFR) maximization problem based on statistical CSI (sCSI). To address the challenge of ergodic rate evaluation, we approximate the problem using closed-form upper bounds and develop a weighted minimum mean squared error-based algorithm to obtain a stationary point. Simulation results demonstrate that the proposed sCSI-based RSMA scheme approaches iCSI-based performance and significantly outperforms conventional space-division multiple access.

Keywords

Cite

@article{arxiv.2508.11132,
  title  = {Multi-Satellite Cooperative MIMO Transmission: Statistical CSI-Aware RSMA Precoding Design},
  author = {Sangwon Jo and Seok-Hwan Park},
  journal= {arXiv preprint arXiv:2508.11132},
  year   = {2025}
}

Comments

accepted for publication in IEEE Wireless Communications Letters

R2 v1 2026-07-01T04:50:55.949Z