Reference : LEO Satellite Communications with Massive MIMO
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/46638
LEO Satellite Communications with Massive MIMO
English
You, L. [> >]
Li, Kexin mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Wang, Jiaheng []
Gao, X. [> >]
Xia, X. [> >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
27-Jul-2020
ICC 2020 - 2020 IEEE International Conference on Communications (ICC), LEO Satellite Communications with Massive MIMO
1-6
Yes
LEO Satellite Communications with Massive MIMO
from 07-06-20 to 11-06-20
Dublin
Ireland
[en] frequency allocation;MIMO communication;precoding;satellite communication;wireless channels;closed-form low-complexity sCSI based DL precoder;full frequency reuse;average signal-to-leakage-plus-noise ratio;massive MIMO downlink transmission scheme;terrestrial communication systems;multiple-input multiple-output techniques;low earth orbit satellite communications;massive MIMO transmission scheme;massive MIMO channel model;LEO satellite communication systems;Low earth orbit satellites;Satellites;Satellite communication;MIMO communication;Delays;Doppler effect;Precoding
[en] Low earth orbit (LEO) satellite communications are expected to be incorporated in future wireless networks to provide global wireless access with enhanced data rates. Massive multiple-input multiple-output (MIMO) techniques, though widely used in terrestrial communication systems, have not been applied to LEO satellite communication systems. In this paper, we propose a massive MIMO downlink (DL) transmission scheme with full frequency reuse (FFR) for LEO satellite communication systems by exploiting statistical channel state information (sCSI) at the transmitter. We first establish a massive MIMO channel model for LEO satellite communications and propose Doppler and time delay compensation techniques at user terminals (UTs). Then, we develop a closed-form low-complexity sCSI based DL precoder by maximizing the average signal-to-leakage-plus-noise ratio (ASLNR). Motivated by the DL ASLNR upper bound, we further propose a space angle based user grouping algorithm to schedule the served UTs into different groups, where each group of UTs use the same time and frequency resource. Numerical results demonstrate that the proposed massive MIMO transmission scheme with FFR significantly enhances the data rate of LEO satellite communication systems.
http://hdl.handle.net/10993/46638
10.1109/ICC40277.2020.9149121
1938-1883

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