Autoregressive and Neural Network Model Based Predictions for Downlink Beamforming

Abstract

In Time-Division-Duplex (TDD) wireless communications, downlink beamforming performance of a smart antenna system can be degraded due to variation of spatial signature vectors in vehicular scenarios. To mitigate this, downlink beams must be adjusted according to changing propagation dynamics. This can be achieved by modeling spatial signature vectors in the… (More)
DOI: 10.1007/978-3-540-28648-6_40

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