Robust Multi-Stream Massive MIMO Satellite Systems Based on Statistical CSI
Hangsong Yan, Alexei Ashikhmin, Hong Yang, Bin Song, Shu Sun

TL;DR
This paper develops robust multi-stream precoding algorithms for massive MIMO satellite systems using statistical CSI, enabling efficient and scalable downlink transmission with large antenna arrays.
Contribution
It introduces the first statistical CSI-based precoding algorithms for multi-SAT massive MIMO systems, including low-complexity and robust designs for practical constraints.
Findings
Proposed precoding schemes achieve performance comparable to instantaneous CSI-based designs.
The PAPC algorithm has linear complexity relative to the number of antennas.
Simulation results confirm effectiveness with large antenna arrays.
Abstract
This paper investigates multi-stream downlink precoding for massive multiple-input multiple-output low-Earthorbit satellite (SAT) communication systems. We adopt a delay and Doppler precompensation approach to achieve coherent transmission. Under this setting, we formulate a signal transmission model that incorporates the near-independent properties of inter-SAT interference and compensation errors. We then demonstrate that moving beyond single-stream transmission requires both multi-SAT cooperation and multi-antenna UTs. Based on this configuration and the established signal transmission model, we derive the first- and second-order statistical channel characteristics and utilize them to design locally optimal precoding algorithms for both total power constraint (TPC) and per-antenna power constraint (PAPC) conditions, which rely only on statistical channel state information (sCSI). In…
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