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

TL;DR

This paper proposes a statistical CSI-aware precoding scheme for cooperative MIMO transmission in LEO satellite systems, improving spectral efficiency and outperforming traditional methods without relying on instantaneous CSI.

Contribution

It introduces a novel ergodic max-min fairness rate optimization based on statistical CSI for satellite MIMO precoding, with a practical algorithm for implementation.

Findings

Proposed scheme approaches iCSI-based performance.

Significant performance gains over space-division multiple access.

Effective precoding design for satellite cooperative MIMO.

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.