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 ![]() | |
Ottersten, Björn ![]() | |
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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