@inproceedings{b3153f6a0975441e89134f86fd3f310c,
title = "Massive MIMO Uplink Transmission for Multi-Satellite Communications",
abstract = "In this paper, we investigate massive multiple-input multiple-output (MIMO) uplink (UL) transmission for multiple low-earth-orbit (LEO) satellite communications. We establish the system model and reveal that the signals transmitted from the user terminals (UTs), which are intended for different satellites, are typically asynchronous at each satellite. Then, at each UT, we propose linear precoding with time and frequency precompensations for each satellite, so that the signals intended for a specific satellite can be synchronized. We formulate the ergodic sum rate maximization problem and propose a Riemannian conjugate gradient (RCG) based precoding vector design algorithm within the manifold optimization framework, which does not include any matrix inversion. Simulation results indicate the effectiveness of our proposed approaches.",
keywords = "manifold optimization, massive MIMO, multi-satellite communications, statistical CSI, uplink transmission",
author = "Ziyu Xiang and Rui Sun and Xinrui Gong and Xiqi Gao and Li, \{Ke Xin\} and Wenjing Liu and Xia, \{Xiang Gen\}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 24th IEEE International Conference on Communication Technology, ICCT 2024 ; Conference date: 18-10-2024 Through 20-10-2024",
year = "2024",
doi = "10.1109/ICCT62411.2024.10946652",
language = "English",
series = "International Conference on Communication Technology Proceedings, ICCT",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "499--504",
booktitle = "2024 IEEE 24th International Conference on Communication Technology, ICCT 2024",
address = "United States",
}