In massive multiple-input multiple-output (MIMO) high-speed train (HST) wireless communication systems (WCS), due to the large-dimension and rapidly time-varying property, channel tracking rather than conventional cha...
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In massive multiple-input multiple-output (MIMO) high-speed train (HST) wireless communication systems (WCS), due to the large-dimension and rapidly time-varying property, channel tracking rather than conventional channel estimation is more feasible. Due to the non-linear channel variation, the channel is first decomposed into sub-channels with different angle of departure. By exploiting the property of near line of sight (LoS) and location information, Kalman filtering is used to track the channel by predicting and modifying the channel gain of the LoS sub-channel. To further improve the tracking performance, a location-based sequentially optimal beam pattern design is proposed. Since placing pilot beams for many receive antennas with different locations in time or frequency division manner costs much system resource, the authors further propose a low-complexity grouping algorithm based on location. Finally, two transmission designs based on the proposed channel tracking scheme and the location only, respectively, are introduced. Simulations validate the efficiency of the authors' proposed tracking scheme and the corresponding transmission design, which shows the importance of location information and channel tracking in massive MIMO HST-WCS.
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