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

• Published in: IEEE wireless communications letters p. 1
• Main Authors: Jo, Sangwon, Park, Seok-Hwan
• Format: Journal Article
• Language: English
• Published: IEEE 2025
• Subjects: cooperative satellites; Downlink; Low earth orbit satellites; massive MIMO; Multiaccess communication; Optimization; Precoding; rate-splitting multiple access; Satellite antennas; Satellite communications; Satellites; statistical CSI; Transmission line matrix methods; Upper bound; Vectors
• ISSN: 2162-2337; 2162-2345
• DOI: 10.1109/LWC.2025.3598854

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 multiple-output (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.