The proposed user-centric distributed massive MIMO (UC-DMIMO) system provides scalable implementation and enhanced performance in terms of spectral efficiency and handover rate for LEO satellite networks.
The authors propose a novel distributed precoding method that incorporates a rate-splitting strategy to efficiently manage the interference in satellite-terrestrial integrated networks without requiring the sharing of channel state information between the satellite and the terrestrial base station.
The core message of this paper is to optimize the user positioning accuracy in multi-beam LEO satellite networks by jointly designing the beam scheduling and beamforming.
The author introduces JSCC-SAT, a neural network-based joint source-and-channel coding approach for efficient satellite data transmission, outperforming traditional methods.