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LEO Satellites Cooperative Channel Estimation for Space-MIMO OFDM Uplink
Journal article   Peer reviewed

LEO Satellites Cooperative Channel Estimation for Space-MIMO OFDM Uplink

Zohre Mashayekh Bakhsh, Zhenyu Liu, Ke-Xin Li, Yi Ma and Rahim Tafazolli
IEEE Communications Letters, Vol.In Press(In Press)
18/04/2026

Abstract

Space MIMO Chan- nel Estimation Uplink OFDM Transmission Satellite Communications
This letter explores cooperative channel estimation for space-MIMO OFDM uplinks with multiple low-Earth-orbit (LEO) satellites. By leveraging spatial orthogonality across satellites , we mitigate pilot contamination in massive MIMO multiuser scenarios. To reduce inter-satellite link (ISL) feedback overhead, we propose a sensing-matrix-based scheme, where satellites forward only selected antenna signals to the master node (MN), preserving dominant signal energy. Simulation results show that cooperative satellites improve spatial decorrelation by 55% and reduce normalized mean square error (NMSE) by 83% compared to non-cooperative random pilot assignment. The proposed compression scheme effectively reduces ISL payload while maintaining channel estimation performance.
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