Multi-Satellite Multi-Stream Beamspace Massive MIMO Transmission
Yafei Wang, Yiming Zhu, Vu Nguyen Ha, Wenjin Wang, Rui Ding, Symeon Chatzinotas, Bj\"orn Ottersten

TL;DR
This paper introduces a novel multi-satellite multi-stream beamspace MIMO transmission model, formulating its signal processing, and proposing optimization algorithms that improve performance and reduce complexity in satellite communication systems.
Contribution
It is the first to formulate MSMS beamspace MIMO signal model and develop practical algorithms for satellite clustering, beam selection, and precoding under realistic conditions.
Findings
Beamspace transmission approaches conventional MIMO performance.
Proposed algorithms significantly improve sum-rate and channel utilization.
Reduced complexity compared to traditional iterative methods.
Abstract
This paper studies multi-satellite multi-stream (MSMS) beamspace transmission, where multiple satellites cooperate to form a distributed multiple-input multiple-output (MIMO) system and jointly deliver multiple data streams to multi-antenna user terminals (UTs), and beamspace transmission combines earth-moving beamforming with beam-domain precoding. For the first time, we formulate the signal model for MSMS beamspace MIMO transmission. Under synchronization errors, multi-antenna UTs enable the distributed MIMO channel to exhibit higher rank, supporting multiple data streams. Beamspace MIMO retains conventional codebook based beamforming while providing the performance gains of precoding. Based on the signal model, we propose statistical channel state information (sCSI)-based optimization of satellite clustering, beam selection, and transmit precoding, using a sum-rate upper-bound…
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Taxonomy
TopicsSatellite Communication Systems · Advanced MIMO Systems Optimization · Advanced Wireless Communication Techniques
