12high-reliability and high-rate services for high speed railway (HSR) passengers has drawn increasing research interests in recent years [1]-[12]. This system faces several challenges imposed by a high Doppler shift, by the estimation of rapidly time-varying channels and frequent handovers. Nevertheless, it also enjoys inherent advantages, such as a predictable vehicle speed and the location information provided by the dedicated communication based train control (CBTC) subsystem [13].Several spatial multiplexing, diversity and beamforming based schemes have been conceived for small-scale multiple-antenna aided POCS systems of HSR [9]- [12]. To be more specific, an efficient handover scheme was proposed in [10] for exploiting the benefits of beamforming and of the positioning information. In [11], a location-information assisted opportunistic beamforming scheme was proposed for the multi-user long-term-evolution (LTE) system employed in HSR. The beamforming technique was also combined with space-time block coding for the case of achieving diversity gain in POCSs [12]. As pointed out in [9], due to the rapidly varying DOA caused by high mobility, it is impractical to mechanically steer a pencil beam for tracking the antenna on the train. From the Abstract: Large-scale array aided beamforming improves the spectral efficiency (SE) as a benefit of high angular resolution. When dual-beam downlink beamforming is applied to the train moving towards cell edge, the inter-beam ambiguity (IBA) increases as the directional difference between beams becomes smaller. An adaptive antenna activation based beamforming scheme was proposed to mitigate IBA. In the district near the base station (BS), all antenna elements (AEs) were activated to generate two beams. As the distance from the train to the BS increased, only the minimum number of AEs satisfying the resolution criterion would be activated. At the cell edge, one beam was switched off due to intolerable IBA. The proposed scheme can achieve SE gain to the non-adaptive scheme and show more robustness against the direction-of-arrival (DOA) estimation error.