Beamforming Oriented Angular Domain Channel Prediction for Mixed LOS and Non-LOS SIMO Environments With High Mobility.

Multiple input multiple output (MIMO) beamforming has been recognized as a key element to support challenging requirements in the vehicular communication environment. In order to provide accurate beam alignment and tracking results in the high mobility scenario, the mobility induced channel prediction mechanism has been proposed in the line-of-sight (LOS) fading environment, while the application to the practical mixed LOS and non-LOS fading environment is still open. In this paper, we propose a novel mobility and channel prediction combined beamforming (MCPCB) scheme to deal with this issue. Specifically, we rely on per-cluster angular based information and non-linear tracking scheme for angular-delay profile to obtain reliable single input multiple output (SIMO) channel prediction. By linking the estimated mobility parameters and the per-cluster beam directions, our proposed MCPCB scheme is able to provide a higher receiving energy with reduced prediction errors, and achieve more robust prediction performance when the cluster level channel blocking happens. Through analytical and numerical results, we show that the proposed MCPCB scheme can achieve about -50.6 dB and -87.7 dB of average received power gain in the LOS and NLOS scenarios, respectively, and outperform many conventional channel prediction methods.