Reference : Massive MIMO Downlink Transmission for LEO Satellite Communications
Scientific congresses, symposiums and conference proceedings : Poster
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/49217
Massive MIMO Downlink Transmission for LEO Satellite Communications
English
Li, Ke-Xin [> >]
You, Li [> >]
Wang, Jiaheng [> >]
Gao, Xiqi [> >]
Tsinos, Christos G. [> >]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Sep-2021
Yes
2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)
From 27-09-2021 to 30-09-2021
[en] We investigate the downlink (DL) transmit strategy
for massive multiple-input multiple-output (MIMO) low-earthorbit
(LEO) satellite communication (SATCOM) systems, in which
only the slow-varying statistical channel state information is
known at the transmitter side. First, we establish the massive
MIMO LEO satellite channel model, in which the uniform planar
arrays are deployed at both the satellite and user terminals (UTs).
Building on the rank-one property of satellite channel matrices, we
show that transmitting a single data stream to each UT is optimal
for the ergodic sum rate maximization. This result is of great
importance for massive MIMO LEO SATCOM systems, since
the sophisticated design of transmit covariance matrices is turned
into that of precoding vectors, with no loss of optimality at all.
Furthermore, we conceive an algorithm to compute the precoding
vectors. Simulation results show the significant performance gains
of the proposed approaches over the previous schemes.
National Natural Science Foundation of China (Grant Number: 61801114,61631018,61761136016,61971130,61720106003) - 10.13039/501100012226-Fundamental Research Funds for the Central Universities - 10.13039/100007869-FNR
Researchers
http://hdl.handle.net/10993/49217
10.1109/VTC2021-Fall52928.2021.9625530
https://ieeexplore.ieee.org/document/9625530

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