Abstract
The 5G wireless channel in the high-speed rail scene has the characteristics of fast time-varying and double selection, that is, frequency selectivity and time selectivity. The change in the instantaneous channel parameters is much faster than that in the cellular cell scene, so it is more difficult to obtain and track the instantaneous channel. This paper first researches the time and spatial correlation of the channel in 5G large-scale MIMO system and proposes a channel tracking scheme to conduct wave velocity training. Based on the predicted channel information, this paper proposes a complete downlink transmission scheme, which effectively balances 5G system resource overhead and channel tracking performance.
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